Triple
T11594295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travis Zajac |
E274961
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Zajac
Zajac is a surname most notably associated with former NHL center Travis Zajac, who spent the majority of his career with the New Jersey Devils.
|
E934339
|
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: Zajac | Statement: [Travis Zajac, familyName, Zajac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zajac Context triple: [Travis Zajac, familyName, Zajac]
-
A.
Kanin
Kanin is a surname most notably associated with American writer and director Garson Kanin.
-
B.
Kuzak
Kuzak is a fictional attorney character from the television legal drama "L.A. Law," known for being part of the law firm McKenzie, Brackman, Chaney and Kuzak.
-
C.
Weasel
Weasel is a sarcastic bartender, arms dealer, and reluctant ally to Deadpool in the Deadpool film series, providing comic relief and underworld connections.
-
D.
Nabbit
Nabbit is a recurring, rabbit-like thief character in the Mario series known for stealing items and dashing through levels while being invincible to most enemies.
-
E.
Pianka
Pianka is the surname of Eric R. Pianka, an influential American ecologist known for his work on lizard ecology and evolutionary biology.
- 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: Zajac Triple: [Travis Zajac, familyName, Zajac]
Generated description
Zajac is a surname most notably associated with former NHL center Travis Zajac, who spent the majority of his career with the New Jersey Devils.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zajac Target entity description: Zajac is a surname most notably associated with former NHL center Travis Zajac, who spent the majority of his career with the New Jersey Devils.
-
A.
Kanin
Kanin is a surname most notably associated with American writer and director Garson Kanin.
-
B.
Kuzak
Kuzak is a fictional attorney character from the television legal drama "L.A. Law," known for being part of the law firm McKenzie, Brackman, Chaney and Kuzak.
-
C.
Weasel
Weasel is a sarcastic bartender, arms dealer, and reluctant ally to Deadpool in the Deadpool film series, providing comic relief and underworld connections.
-
D.
Nabbit
Nabbit is a recurring, rabbit-like thief character in the Mario series known for stealing items and dashing through levels while being invincible to most enemies.
-
E.
Pianka
Pianka is the surname of Eric R. Pianka, an influential American ecologist known for his work on lizard ecology and evolutionary biology.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8946790d08190924d60bb4b523250 |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e7146fdd8c8190a54f3290e155e900 |
completed | April 21, 2026, 6:08 a.m. |
| NEDg | Description generation | batch_69e720fc0f38819083bd15169f2ce4bb |
completed | April 21, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e72353c19c8190b7a579e9af823872 |
completed | April 21, 2026, 7:12 a.m. |
Created at: April 8, 2026, 9:38 p.m.