Triple
T16525351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Shot |
E401419
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
The Zec
The Zec is a ruthless, enigmatic villain and former Soviet sniper who serves as the primary antagonist in the Jack Reacher novel and film "Jack Reacher."
|
E1217998
|
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: The Zec | Statement: [One Shot, featuresCharacter, The Zec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Zec Context triple: [One Shot, featuresCharacter, The Zec]
-
A.
La Tzoumaz
La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
-
B.
Zardoz
Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
-
C.
Zaar
Zaar is a West Chadic language spoken primarily in Bauchi State, Nigeria.
-
D.
Zezuru
Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
-
E.
Le Zebrette
Le Zebrette is the traditional nickname of Italian football club Udinese Calcio, referencing the team's black-and-white striped kit that resembles a zebra.
- 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: The Zec Triple: [One Shot, featuresCharacter, The Zec]
Generated description
The Zec is a ruthless, enigmatic villain and former Soviet sniper who serves as the primary antagonist in the Jack Reacher novel and film "Jack Reacher."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Zec Target entity description: The Zec is a ruthless, enigmatic villain and former Soviet sniper who serves as the primary antagonist in the Jack Reacher novel and film "Jack Reacher."
-
A.
La Tzoumaz
La Tzoumaz is a Swiss alpine village and ski resort in the 4 Vallées region, known for its family-friendly slopes and access to extensive interconnected ski terrain.
-
B.
Zardoz
Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
-
C.
Zaar
Zaar is a West Chadic language spoken primarily in Bauchi State, Nigeria.
-
D.
Zezuru
Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
-
E.
Le Zebrette
Le Zebrette is the traditional nickname of Italian football club Udinese Calcio, referencing the team's black-and-white striped kit that resembles a zebra.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32ed323c081908218460aa4ae3cf6 |
completed | April 18, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00608d36dc8190a094fa4513147c85 |
completed | May 10, 2026, 10:40 a.m. |
| NEDg | Description generation | batch_6a0061a6e1e88190a5efe0430db0bd9b |
completed | May 10, 2026, 10:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00627908988190803707069872e4c5 |
completed | May 10, 2026, 10:48 a.m. |
Created at: April 10, 2026, 5:14 a.m.