Triple
T7747098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teddy Altman |
E175657
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Leo Hunt |
E686866
|
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: Leo Hunt | Statement: [Teddy Altman, hasChild, Leo Hunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leo Hunt Context triple: [Teddy Altman, hasChild, Leo Hunt]
-
A.
Leo Hunt
chosen
Leo Hunt is a fictional child character in the television series "Grey's Anatomy," known as the son of trauma surgeon Owen Hunt.
-
B.
Rex Harrington
Rex Harrington is a celebrated Canadian ballet dancer and former principal with the National Ballet of Canada, renowned for his dramatic stage presence and virtuosic technique.
-
C.
Carl Esmond
Carl Esmond was an Austrian-born American actor known for his character roles in Hollywood films from the 1930s through the 1960s.
-
D.
David Hunt
David Hunt is a common name shared by several notable individuals, including politicians, actors, and authors.
-
E.
Ross Marquand
Ross Marquand is an American actor and impressionist best known for his roles on "The Walking Dead" and in the Marvel Cinematic Universe.
- 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7038caa64819084f61b42a73c2d8b |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8deac5160819098e842fb720d77b1 |
completed | March 29, 2026, 8:11 a.m. |
Created at: March 27, 2026, 4:08 p.m.