Triple
T14479576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Fockers |
E359063
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Greg Hayden |
E254990
|
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: Greg Hayden | Statement: [Little Fockers, editedBy, Greg Hayden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Hayden Context triple: [Little Fockers, editedBy, Greg Hayden]
-
A.
Greg Hayden
chosen
Greg Hayden is a film editor best known for his work on major comedy features, including the Austin Powers series.
-
B.
Jay Hayden
Jay Hayden is an American actor best known for his role as firefighter Travis Montgomery on the television drama series "Station 19."
-
C.
Steve Hayden
Steve Hayden is an acclaimed advertising copywriter best known for co-creating Apple’s iconic “1984” Super Bowl commercial that helped redefine modern advertising.
-
D.
Jeffrey Hayden
Jeffrey Hayden was an American television and film director known for his extensive work in mid-20th-century TV dramas and variety shows.
-
E.
Sam Hayward
Sam Hayward is an acclaimed American chef best known for his pioneering farm-to-table cuisine and leadership at the renowned Portland, Maine restaurant Fore Street.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924a576c819098351efabdb779b1 |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a3e32fc8190822aeb633b60af6b |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:20 a.m.