Triple
T1809563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Troop Zero |
E40299
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Milan Ray
Milan Ray is an American actress best known for her role in the film "Troop Zero" and subsequent work in television and movies.
|
E210984
|
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: Milan Ray | Statement: [Troop Zero, hasCastMember, Milan Ray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milan Ray Context triple: [Troop Zero, hasCastMember, Milan Ray]
-
A.
Eddie Spears
Eddie Spears is a Native American actor known for his roles in film and television, particularly in Western and Indigenous-themed productions.
-
B.
Dominick Pangallo
Dominick Pangallo is an American politician serving as the mayor of Salem, Massachusetts.
-
C.
Mick Antoniw
Mick Antoniw is a Welsh Labour politician and Member of the Senedd who has held senior legal and governmental roles in Wales.
-
D.
Leon Rose
Leon Rose is an American sports executive and former player agent who serves as the president of basketball operations for the New York Knicks in the NBA.
-
E.
Rod La Rocque
Rod La Rocque was an American film actor prominent during the silent and early sound eras, known for his suave leading-man roles in Hollywood productions.
- 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: Milan Ray Triple: [Troop Zero, hasCastMember, Milan Ray]
Generated description
Milan Ray is an American actress best known for her role in the film "Troop Zero" and subsequent work in television and movies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Milan Ray Target entity description: Milan Ray is an American actress best known for her role in the film "Troop Zero" and subsequent work in television and movies.
-
A.
Eddie Spears
Eddie Spears is a Native American actor known for his roles in film and television, particularly in Western and Indigenous-themed productions.
-
B.
Dominick Pangallo
Dominick Pangallo is an American politician serving as the mayor of Salem, Massachusetts.
-
C.
Mick Antoniw
Mick Antoniw is a Welsh Labour politician and Member of the Senedd who has held senior legal and governmental roles in Wales.
-
D.
Leon Rose
Leon Rose is an American sports executive and former player agent who serves as the president of basketball operations for the New York Knicks in the NBA.
-
E.
Rod La Rocque
Rod La Rocque was an American film actor prominent during the silent and early sound eras, known for his suave leading-man roles in Hollywood productions.
- 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_69a88643a3388190a612f2ebe1fb29e7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa65c310d88190bfd9c27fa238e648 |
completed | March 6, 2026, 5:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adead39c208190aa3aaf793c7e3224 |
completed | March 8, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69adeb1049dc8190bbf9aa6ad5ad1ad9 |
completed | March 8, 2026, 9:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adeb8d6c948190a28963faa04b6883 |
completed | March 8, 2026, 9:35 p.m. |
Created at: March 4, 2026, 7:32 p.m.