Triple
T6381457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allan Houston |
E143591
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Tamara Houston |
E143591
|
NE 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: Tamara Houston | Statement: [Allan Houston, spouse, Tamara Houston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamara Houston Context triple: [Allan Houston, spouse, Tamara Houston]
-
A.
Tamara Houston
chosen
Tamara Houston is best known as the wife of former NBA All-Star shooting guard Allan Houston.
-
B.
Stephanie Austin
Stephanie Austin is a film producer known for her work on action and thriller movies, including the 1996 film "The Long Kiss Goodnight."
-
C.
Sarah Baldwin
Sarah Baldwin is an actress known for appearing in the romantic comedy film "Something Borrowed."
-
D.
Chynna Phillips
Chynna Phillips is an American singer and actress best known as a member of the pop group Wilson Phillips.
-
E.
Julia Houston
Julia Houston is a central character in the TV series "Smash," portrayed as a talented but personally conflicted Broadway songwriter and lyricist.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0685385948190938b67bff671072b |
completed | March 22, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62db397f48190bc4533ce26b27a55 |
completed | March 27, 2026, 7:11 a.m. |
Created at: March 22, 2026, 4:33 p.m.