Triple
T38482183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Flying Tomato |
E915708
|
entity |
| Predicate | associatedWithPersonHairColor |
P123008
|
FINISHED |
| Object | red hair |
—
|
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: red hair | Statement: [The Flying Tomato, associatedWithPersonHairColor, red hair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPersonHairColor Context triple: [The Flying Tomato, associatedWithPersonHairColor, red hair]
-
A.
hasHair
Indicates that an entity possesses hair as a physical attribute.
-
B.
depictsHairColor
Indicates that one entity visually represents or portrays the hair color of another entity.
-
C.
hairColorOfFamousCharacter
Indicates the specific hair color associated with a particular famous character.
-
D.
hairColorAsHuman
Indicates that an entity has a specific hair color when represented or perceived as a human.
-
E.
hairColorTrait
chosen
Indicates a relationship where an entity possesses a specific hair color as a distinguishing trait.
- 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_69f76e8ff5cc8190a88803369183845e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.