Triple
T22397109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allegiant |
E553663
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Peter Hayes
Peter Hayes is a central character in Veronica Roth's Divergent series, known for his ambitious, often antagonistic role within the Dauntless faction.
|
E1536128
|
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: Peter Hayes | Statement: [Allegiant, hasCharacter, Peter Hayes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Hayes Context triple: [Allegiant, hasCharacter, Peter Hayes]
-
A.
Peter Hayes
Peter Hayes is a British diplomat and civil servant who has served in senior roles including Commissioner of the British Antarctic Territory.
-
B.
Stephen Hayes
Stephen Hayes is a notable individual whose specific identity and achievements are not clearly determined from the given information alone.
-
C.
Richard Hayes
Richard Hayes was an American singer and actor best known for his popular recordings in the 1950s and his work in television and radio.
-
D.
Michael Hayes
Michael Hayes was a British television director best known for his work on the classic science fiction series Doctor Who, including the acclaimed serial "City of Death."
-
E.
Les Hayes
Les Hayes is a small French commune located in the Loir-et-Cher department in central France.
- 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: Peter Hayes Triple: [Allegiant, hasCharacter, Peter Hayes]
Generated description
Peter Hayes is a central character in Veronica Roth's Divergent series, known for his ambitious, often antagonistic role within the Dauntless faction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Hayes Target entity description: Peter Hayes is a central character in Veronica Roth's Divergent series, known for his ambitious, often antagonistic role within the Dauntless faction.
-
A.
Peter Hayes
Peter Hayes is a British diplomat and civil servant who has served in senior roles including Commissioner of the British Antarctic Territory.
-
B.
Stephen Hayes
Stephen Hayes is a notable individual whose specific identity and achievements are not clearly determined from the given information alone.
-
C.
Richard Hayes
Richard Hayes was an American singer and actor best known for his popular recordings in the 1950s and his work in television and radio.
-
D.
Michael Hayes
Michael Hayes was a British television director best known for his work on the classic science fiction series Doctor Who, including the acclaimed serial "City of Death."
-
E.
Les Hayes
Les Hayes is a small French commune located in the Loir-et-Cher department in central France.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585f67108190b8d3f23eaa0ed120 |
completed | April 29, 2026, 1:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0d92550819095b66cc01d13ccff |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af268db2881908706641ad1e41f79 |
completed | May 18, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b08e411048190a368214c57c35d5e |
completed | May 18, 2026, 12:41 p.m. |
Created at: April 16, 2026, 8:45 p.m.