Triple
T8244052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lawnmower Man (1992 film) |
E192805
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Jeff Fahey |
E453295
|
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: Jeff Fahey | Statement: [The Lawnmower Man (1992 film), stars, Jeff Fahey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Fahey Context triple: [The Lawnmower Man (1992 film), stars, Jeff Fahey]
-
A.
Jeff Fahey
chosen
Jeff Fahey is an American actor known for his work in film and television, including roles in genre projects like the grindhouse-style horror film "Planet Terror."
-
B.
Mike Gaffey
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
-
C.
Dan Fagan
Dan Fagan is a notable individual recognized for achievements associated with the surname Fagan.
-
D.
Jeff Timmons
Jeff Timmons is an American singer and founding member of the pop and R&B boy band 98 Degrees.
-
E.
Jason Hehir
Jason Hehir is an American documentary filmmaker best known for directing high-profile sports documentaries, including the acclaimed Michael Jordan and Chicago Bulls series "The Last Dance."
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78711f5081909c2f357334491a07 |
completed | March 31, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfb9eaebb88190b127905f58fd5c79 |
completed | April 3, 2026, 1 p.m. |
Created at: March 30, 2026, 5:47 p.m.