Triple
T5464822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hayley Smith |
E122681
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Matt Weitzman |
E78414
|
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: Matt Weitzman | Statement: [Hayley Smith, creator, Matt Weitzman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Weitzman Context triple: [Hayley Smith, creator, Matt Weitzman]
-
A.
Matt Weitzman
chosen
Matt Weitzman is an American television writer and producer best known as a co-creator and executive producer of the animated series "American Dad!"
-
B.
Matthew Weisman
Matthew Weisman is a screenwriter best known for co-writing the 1985 action film "Commando" starring Arnold Schwarzenegger.
-
C.
Josh Srebnick
Josh Srebnick is a central character in the film "While We're Young," portrayed as a middle-aged documentary filmmaker grappling with ambition, authenticity, and aging in contrast to a younger creative couple.
-
D.
Jonathan Teplitzky
Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
-
E.
Matthew Sklar
Matthew Sklar is an American composer best known for his work on Broadway musicals, including the stage adaptation of "The Wedding Singer."
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd920590b481909b92091678ff1414 |
completed | March 20, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfea92b36081909aa6e33b8b572f90 |
completed | March 22, 2026, 1:11 p.m. |
Created at: March 20, 2026, 2:08 p.m.