Triple
T3452240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Leigh Teabing |
E72817
|
entity |
| Predicate | secretIdentity |
P42867
|
FINISHED |
| Object | the Teacher |
—
|
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: the Teacher | Statement: [Sir Leigh Teabing, secretIdentity, the Teacher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secretIdentity Context triple: [Sir Leigh Teabing, secretIdentity, the Teacher]
-
A.
hasSecretIdentity
chosen
Indicates that an entity possesses an alternate, hidden identity that is not publicly known.
-
B.
coverIdentities
Indicates that one entity conceals, masks, or protects the true identities of one or more other entities.
-
C.
identityRevealedIn
Indicates that an entity’s true identity becomes known or disclosed within a specified context, source, or situation.
-
D.
revealedSecretOf
Indicates that one entity has disclosed or exposed confidential or previously unknown information belonging to another entity.
-
E.
keepsSecretAbout
Indicates that one entity intentionally withholds or conceals information regarding another specified entity or topic from others.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbaa2f5ec81909ced93c01e8fe38b |
completed | March 8, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69adae0255b48190a9069f7871c7a012 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:16 p.m.