Triple
T9970158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Greatest Showman |
E196182
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object |
Michael Gracey
Michael Gracey is an Australian filmmaker and visual effects artist best known for directing the hit musical film "The Greatest Showman."
|
E843943
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Michael Gracey | Statement: [The Greatest Showman, director, Michael Gracey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Gracey Context triple: [The Greatest Showman, director, Michael Gracey]
-
A.
Nico Parker
Nico Parker is a British actress known for her breakout role in Disney's live-action "Dumbo" (2019) and subsequent appearances in film and television.
-
B.
Leigh Whannell
Leigh Whannell is an Australian screenwriter, director, actor, and producer best known for co-creating the Saw and Insidious horror film franchises.
-
C.
Travis Knight
Travis Knight is an American animator, film director, and CEO of the stop-motion animation studio Laika, known for directing films such as "Kubo and the Two Strings."
-
D.
Wes Ball
Wes Ball is an American film director best known for helming the Maze Runner science-fiction film series.
-
E.
Michael Flanagan
Michael Flanagan is a common personal name shared by multiple individuals, including professionals in fields such as sports, politics, and the arts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Michael Gracey Triple: [The Greatest Showman, director, Michael Gracey]
Generated description
Michael Gracey is an Australian filmmaker and visual effects artist best known for directing the hit musical film "The Greatest Showman."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Gracey Target entity description: Michael Gracey is an Australian filmmaker and visual effects artist best known for directing the hit musical film "The Greatest Showman."
-
A.
Nico Parker
Nico Parker is a British actress known for her breakout role in Disney's live-action "Dumbo" (2019) and subsequent appearances in film and television.
-
B.
Leigh Whannell
Leigh Whannell is an Australian screenwriter, director, actor, and producer best known for co-creating the Saw and Insidious horror film franchises.
-
C.
Travis Knight
Travis Knight is an American animator, film director, and CEO of the stop-motion animation studio Laika, known for directing films such as "Kubo and the Two Strings."
-
D.
Wes Ball
Wes Ball is an American film director best known for helming the Maze Runner science-fiction film series.
-
E.
Michael Flanagan
Michael Flanagan is a common personal name shared by multiple individuals, including professionals in fields such as sports, politics, and the arts.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7b7ea9881908a56f11e2e446dd0 |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e5476f408190b8921cd4343c3af9 |
completed | April 5, 2026, 10:42 p.m. |
| NEDg | Description generation | batch_69d2e6f0aa988190aa9a866afcc2a1a2 |
completed | April 5, 2026, 10:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2e78384f48190abb7bdd7fcadcd9a |
completed | April 5, 2026, 10:51 p.m. |
Created at: March 30, 2026, 8:48 p.m.