Triple
T12667206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig Luck |
E302583
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Finch |
E556141
|
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: Finch | Statement: [Craig Luck, notableWork, Finch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Finch Context triple: [Craig Luck, notableWork, Finch]
-
A.
Finch
chosen
Finch is a socially awkward yet sharp-tongued member of the core friend group in the American Pie film series, known especially for his unexpected romantic entanglement with Stifler’s mom.
-
B.
Finch
Finch is an English surname historically associated with several notable families, including that of philosopher Anne Conway, Viscountess Conway.
-
C.
Finch
Finch is a 2021 post-apocalyptic science fiction drama film starring Tom Hanks as a lone survivor who builds a robot to care for his dog.
-
D.
Sparrow
Sparrow is a recurring character in Alison Bechdel’s long-running comic strip "Dykes to Watch Out For," known for her involvement in the strip’s interconnected lesbian and queer community.
-
E.
Sparrow
"Sparrow" is a gentle, folk-influenced song by Simon & Garfunkel, known for its poetic lyrics and delicate vocal harmonies.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96181c40481908f3e2717f5472b85 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688bfc048190970d281e66c34cdc |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:20 p.m.