Triple
T13740143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil Wenneck |
E330062
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object | Stu Price |
E223069
|
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: Stu Price | Statement: [Phil Wenneck, hasFriend, Stu Price]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stu Price Context triple: [Phil Wenneck, hasFriend, Stu Price]
-
A.
Stu Price
chosen
Stu Price is a timid, straight-laced dentist who becomes embroiled in wild misadventures during a bachelor party in the comedy film "The Hangover."
-
B.
Charlie Price
Charlie Price is the central protagonist of the musical and film "Kinky Boots," a struggling shoe factory owner who reinvents his business by partnering with a drag performer to create a line of high-heeled boots.
-
C.
Christopher Benstead
Christopher Benstead is a British composer and music editor known for his film scores and sound work on major movies, including collaborations with director Guy Ritchie.
-
D.
Stu Shepard
Stu Shepard is the fast-talking New York publicist portrayed by Colin Farrell in the thriller film "Phone Booth."
-
E.
Paul Price
Paul Price is a person known primarily as a family member of Andrew Price.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0206a4b88190a60914e2b43e54f9 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6bce9881909209231f6dfcf9bf |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.