Triple
T35308971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenenbaum family |
E1019712
|
entity |
| Predicate | hasChildProdigy |
P153101
|
FINISHED |
| Object | Chas Tenenbaum |
—
|
NE NERFINISHED |
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: Chas Tenenbaum | Statement: [Tenenbaum family, hasChildProdigy, Chas Tenenbaum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildProdigy Context triple: [Tenenbaum family, hasChildProdigy, Chas Tenenbaum]
-
A.
childProdigy
chosen
Indicates that an entity is a child who demonstrates exceptional skill or talent in a particular domain at an unusually young age.
-
B.
hasChildWhoBecame
Indicates that an entity has a child who later attained or transitioned into a specified role, status, or condition.
-
C.
hasOnScreenSonWith
Indicates that two entities are related such that one appears as the on-screen son of the other in a visual media context.
-
D.
hasChildhood
Indicates that one entity serves as the childhood period, environment, or experience of another entity.
-
E.
has child
Indicates that one entity is the parent of another entity, which is its child.
- 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fed48d8e148190a99c0aea29f8a3ee |
completed | May 9, 2026, 6:30 a.m. |
| PD | Predicate disambiguation | batch_69fed3c82a24819095e614e31ac0307f |
completed | May 9, 2026, 6:27 a.m. |
Created at: May 3, 2026, 4:03 p.m.