Triple
T5373292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delilah |
E108901
|
entity |
| Predicate | cutsOrHasCut |
P51018
|
FINISHED |
| Object | Samson's hair cut |
—
|
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: Samson's hair cut | Statement: [Delilah, cutsOrHasCut, Samson's hair cut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cutsOrHasCut Context triple: [Delilah, cutsOrHasCut, Samson's hair cut]
-
A.
hasCut
chosen
Indicates that one entity has made or possesses a cut in, on, or through another entity.
-
B.
commonCut
Indicates that two or more entities share at least one identical segment or portion that has been cut or divided in the same way.
-
C.
hasCutAfterRound
Indicates that an entity is eliminated or removed from participation after a specified round.
-
D.
hasAlternateCut
Indicates that an entity has an alternative edited version or cut, distinct from its primary or original form.
-
E.
crossCut
Indicates that one entity intersects or passes through another, typically cutting across it from one side to the other.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd88801b188190b9ac35ed89167fa3 |
completed | March 20, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69bd846172788190969f24bc7503c05e |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:03 p.m.