Triple
T17907080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phil LaMarr |
E447729
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Phil |
—
|
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: Phil | Statement: [Phil LaMarr, givenName, Phil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil Context triple: [Phil LaMarr, givenName, Phil]
-
A.
Phil
chosen
Phil is a masculine given name, often a shortened form of Philip or Phillip, used in English-speaking countries.
-
B.
Phil
Phil is the gruff yet wise satyr trainer who mentors Hercules in the 1997 Disney animated film.
-
C.
Joe
Joe is a central character in the classic 1959 comedy film "Some Like It Hot," where he is one of two musicians who disguise themselves as women to escape mobsters.
-
D.
Joe
Joe is a notable artwork created by Japanese photographer and artist Hiroshi Sugimoto.
-
E.
Joe
Joe is the given name of Joe Oros, an American automobile designer best known for leading the design of the original Ford Mustang.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e9d458881909e35e1c7a6e85436 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.