Triple
T36759919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sr. Ávila |
E908166
|
entity |
| Predicate | mainCharacterSecretOccupation |
P21567
|
FINISHED |
| Object | hitman |
—
|
LITERAL FINISHED |
How this triple was built (2 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: hitman | Statement: [Sr. Ávila, mainCharacterSecretOccupation, hitman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCharacterSecretOccupation Context triple: [Sr. Ávila, mainCharacterSecretOccupation, hitman]
-
A.
protagonistSecret
Indicates that one entity is the main character who possesses or is associated with a hidden fact, identity, or piece of information unknown to others.
-
B.
hasSecretIdentity
Indicates that an entity possesses an alternate, hidden identity that is not publicly known.
-
C.
featuresProtagonistOccupation
chosen
Indicates that the work’s main character has a specified occupation or job role.
-
D.
otherProtagonistOccupation
Indicates that another main character in the narrative has a specific occupation or job role.
-
E.
occupationInDisguise
Indicates that an entity’s true occupation is being concealed or performed under a false or hidden identity.
- F. None of above.
Provenance (3 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_69f76e779bec8190be0e1f87a131e0f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
Created at: May 3, 2026, 4:12 p.m.