Triple
T3843792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Something's Gotta Give |
E93517
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Julian Mercer
Julian Mercer is a charming young doctor portrayed by Keanu Reeves in the romantic comedy film "Something's Gotta Give."
|
E392453
|
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: Julian Mercer | Statement: [Something's Gotta Give, mainCharacter, Julian Mercer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julian Mercer Context triple: [Something's Gotta Give, mainCharacter, Julian Mercer]
-
A.
Julian Burnside
Julian Burnside is an Australian barrister and human rights advocate renowned for his work defending refugees and speaking out on civil liberties and social justice.
-
B.
Roland Caulder
Roland Caulder is an actor known for his role in the film "The Iron Mask."
-
C.
Ryan Sinclair
Ryan Sinclair is a companion of the Thirteenth Doctor in the television series Doctor Who, known for his bravery and growth throughout their time-traveling adventures.
-
D.
Lennox Cato
Lennox Cato is a British antiques dealer and television expert best known for his appearances on the BBC’s "Antiques Roadshow."
-
E.
Julian Dennison
Julian Dennison is a New Zealand actor best known for his breakout role in "Hunt for the Wilderpeople" and his performance in "Deadpool 2."
- 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: Julian Mercer Triple: [Something's Gotta Give, mainCharacter, Julian Mercer]
Generated description
Julian Mercer is a charming young doctor portrayed by Keanu Reeves in the romantic comedy film "Something's Gotta Give."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Julian Mercer Target entity description: Julian Mercer is a charming young doctor portrayed by Keanu Reeves in the romantic comedy film "Something's Gotta Give."
-
A.
Julian Burnside
Julian Burnside is an Australian barrister and human rights advocate renowned for his work defending refugees and speaking out on civil liberties and social justice.
-
B.
Roland Caulder
Roland Caulder is an actor known for his role in the film "The Iron Mask."
-
C.
Ryan Sinclair
Ryan Sinclair is a companion of the Thirteenth Doctor in the television series Doctor Who, known for his bravery and growth throughout their time-traveling adventures.
-
D.
Lennox Cato
Lennox Cato is a British antiques dealer and television expert best known for his appearances on the BBC’s "Antiques Roadshow."
-
E.
Julian Dennison
Julian Dennison is a New Zealand actor best known for his breakout role in "Hunt for the Wilderpeople" and his performance in "Deadpool 2."
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb4fd308190a636ba9dbbe57ed6 |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5040f93948190b104cf1b7db671b7 |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b504c46dcc8190a9775c39e5c734a9 |
completed | March 14, 2026, 6:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b505742830819093a861bde17c03c0 |
completed | March 14, 2026, 6:51 a.m. |
Created at: March 9, 2026, 3:18 p.m.