Triple
T9794243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persis Khambatta |
E237677
|
entity |
| Predicate | hairStyleForRole |
P90004
|
FINISHED |
| Object | shaved head for Ilia in Star Trek: The Motion Picture |
—
|
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: shaved head for Ilia in Star Trek: The Motion Picture | Statement: [Persis Khambatta, hairStyleForRole, shaved head for Ilia in Star Trek: The Motion Picture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hairStyleForRole Context triple: [Persis Khambatta, hairStyleForRole, shaved head for Ilia in Star Trek: The Motion Picture]
-
A.
hairStyleInPSA
Indicates that an entity has a particular hairstyle as depicted in a specific public service announcement (PSA).
-
B.
hairAsSymbol
Indicates that hair functions as a symbolic element representing ideas, traits, or meanings beyond its literal physical presence.
-
C.
hasHair
Indicates that an entity possesses hair as a physical attribute.
-
D.
costumeDesignStyle
Indicates the stylistic approach or aesthetic characteristics used in designing a costume for a character or production.
-
E.
beardStyle
Indicates the specific style or manner in which an entity’s beard is shaped, groomed, or worn.
- F. None of above. chosen
Provenance (4 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda347b6bc8190a99b7dec1650cd46 |
completed | April 1, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69cd03da45a88190b71b1be3354c15a6 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:28 p.m.