Triple
T3287022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charly Baltimore |
E69005
|
entity |
| Predicate | hairColorAtStartOfFilm |
P36924
|
FINISHED |
| Object | blonde |
—
|
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: blonde | Statement: [Charly Baltimore, hairColorAtStartOfFilm, blonde]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hairColorAtStartOfFilm Context triple: [Charly Baltimore, hairColorAtStartOfFilm, blonde]
-
A.
hairColorInFiction
chosen
Indicates that a fictional character is depicted as having a particular hair color within a narrative or fictional context.
-
B.
headColor
Indicates the color attribute specifically associated with the head of an entity.
-
C.
hasEyeColor
Indicates that an entity possesses eyes of a specified color.
-
D.
hasFleshColor
Indicates that an entity possesses a particular color or characteristic of its flesh or internal tissue.
-
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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb05779d08190a5517951e71b1380 |
completed | March 8, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69ada421fadc8190b7c7d3c8afd20061 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.