Triple
T32707679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pteranodon |
E836316
|
entity |
| Predicate | femalesCharacteristic |
P78623
|
FINISHED |
| Object | smaller crest |
—
|
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: smaller crest | Statement: [Pteranodon, femalesCharacteristic, smaller crest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femalesCharacteristic Context triple: [Pteranodon, femalesCharacteristic, smaller crest]
-
A.
femaleFeature
chosen
Indicates that the subject possesses a characteristic or attribute that is typically associated with females.
-
B.
femaleHas
Indicates that a specified entity is female or possesses a female gender attribute in relation to another entity or context.
-
C.
hasFemaleCharacter
Indicates that an entity includes or features at least one female character.
-
D.
femaleSubject
Indicates that the subject in the relationship or action is female.
-
E.
femaleFigure1Attribute
Indicates that the first female figure possesses or is characterized by a specific attribute.
- 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_69f3493446148190819541f3ffe79975 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:10 a.m.