Triple
T32707677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pteranodon |
E836316
|
entity |
| Predicate | malesCharacteristic |
P18326
|
FINISHED |
| Object | larger body size |
—
|
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: larger body size | Statement: [Pteranodon, malesCharacteristic, larger body size]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: malesCharacteristic Context triple: [Pteranodon, malesCharacteristic, larger body size]
-
A.
maleFeature
Indicates that the subject possesses a characteristic or attribute typically associated with males.
-
B.
malesOftenHave
chosen
Indicates that male entities frequently possess, exhibit, or are associated with the specified attribute or characteristic.
-
C.
maleDisplay
Indicates that a male individual is performing a display behavior directed toward another entity, typically for attraction, competition, or signaling.
-
D.
isMaleCharacter
Indicates that the referenced character is identified as male.
-
E.
maleCaste
Indicates that the subject belongs to a caste or social group that is classified as male.
- 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_69f6c852d7248190bdf8d128992668cf |
completed | May 3, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:10 a.m.