Triple
T9183965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Barnes |
E220405
|
entity |
| Predicate | hairColorInFilm |
P52199
|
FINISHED |
| Object | gray |
—
|
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: gray | Statement: [Bob Barnes, hairColorInFilm, gray]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hairColorInFilm Context triple: [Bob Barnes, hairColorInFilm, gray]
-
A.
hairColorOnScreen
chosen
Indicates the hair color that an entity appears to have when shown or rendered on a screen.
-
B.
hairColorInFiction
Indicates that a fictional character is depicted as having a particular hair color within a narrative or fictional context.
-
C.
hairColorAsCharly
Indicates that one entity has the same hair color as the reference entity "Charly."
-
D.
depictsHairColor
Indicates that one entity visually represents or portrays the hair color of another entity.
-
E.
hasFilmColorType
Indicates that a film is associated with a particular color process or color classification (e.g., color, black-and-white).
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc31734908190b8ebe3b57849ca5f |
completed | April 1, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_69cc66090e5881908889dc1213815626 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:24 p.m.