Triple
T7261078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joe Estevez |
E159651
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Fatal Justice
Fatal Justice is a low-budget 1990s action film featuring Joe Estevez in a leading role.
|
E651504
|
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: Fatal Justice | Statement: [Joe Estevez, notableWork, Fatal Justice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fatal Justice Context triple: [Joe Estevez, notableWork, Fatal Justice]
-
A.
License to Kill
"License to Kill" is a 1989 James Bond film best known for its darker tone and for featuring the title song performed by soul singer Gladys Knight.
-
B.
Retribution
"Retribution" is a track by Pusha T from his album *King Push – Darkest Before Dawn: The Prelude*, showcasing his gritty lyricism and dark, atmospheric production.
-
C.
Retribution
Retribution is an expansion for the sci-fi MMORPG EVE Online that focuses on crime and punishment mechanics, bounty hunting, and rebalancing of combat ships.
-
D.
Vengeance
Vengeance is a 2022 dark comedy-thriller film written and directed by B.J. Novak that follows a New York writer-podcaster investigating a mysterious death in Texas.
-
E.
Havoc
Havoc is an American rapper and record producer best known as one half of the influential hip-hop duo Mobb Deep.
- 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: Fatal Justice Triple: [Joe Estevez, notableWork, Fatal Justice]
Generated description
Fatal Justice is a low-budget 1990s action film featuring Joe Estevez in a leading role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fatal Justice Target entity description: Fatal Justice is a low-budget 1990s action film featuring Joe Estevez in a leading role.
-
A.
License to Kill
"License to Kill" is a 1989 James Bond film best known for its darker tone and for featuring the title song performed by soul singer Gladys Knight.
-
B.
Retribution
"Retribution" is a track by Pusha T from his album *King Push – Darkest Before Dawn: The Prelude*, showcasing his gritty lyricism and dark, atmospheric production.
-
C.
Retribution
Retribution is an expansion for the sci-fi MMORPG EVE Online that focuses on crime and punishment mechanics, bounty hunting, and rebalancing of combat ships.
-
D.
Vengeance
Vengeance is a 2022 dark comedy-thriller film written and directed by B.J. Novak that follows a New York writer-podcaster investigating a mysterious death in Texas.
-
E.
Havoc
Havoc is an American rapper and record producer best known as one half of the influential hip-hop duo Mobb Deep.
- 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eac79fd081909274aa10ffb192aa |
completed | March 27, 2026, 8:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3bda4808190810f2d170cb693b9 |
completed | March 28, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_69c7d469fd0081908943099685f94c8b |
completed | March 28, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d52299108190974a2e62d6f96610 |
completed | March 28, 2026, 1:18 p.m. |
Created at: March 27, 2026, 2:57 p.m.