Triple
T7694892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorilla |
E174343
|
entity |
| Predicate | adultMaleCharacteristic |
P18326
|
FINISHED |
| Object | silverback hair on back |
—
|
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: silverback hair on back | Statement: [Gorilla, adultMaleCharacteristic, silverback hair on back]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adultMaleCharacteristic Context triple: [Gorilla, adultMaleCharacteristic, silverback hair on back]
-
A.
maleEquivalent
Indicates that one entity is the corresponding male counterpart or equivalent of another entity.
-
B.
isMaleCharacter
Indicates that the referenced character is identified as male.
-
C.
malesOftenHave
chosen
Indicates that male entities frequently possess, exhibit, or are associated with the specified attribute or characteristic.
-
D.
maleCalled
Indicates that a male individual is referred to or named by a particular name or label.
-
E.
maleLength
Indicates that the relationship specifies the length or size measurement of a male individual or male part of an entity.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c706d1f0208190bc5b695aa5736244 |
completed | March 27, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69c70163dea88190ae729df50e63dfd7 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:02 p.m.