Triple
T13667977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prey |
E327671
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Chris Lunt |
E1096933
|
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: Chris Lunt | Statement: [Prey, writer, Chris Lunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Lunt Context triple: [Prey, writer, Chris Lunt]
-
A.
Chris Lunt
chosen
Chris Lunt is a technologist and entrepreneur best known for creating the software project Prey.
-
B.
Chris Grigg
Chris Grigg is a composer best known for his work on the music and sound design for the classic adventure game Maniac Mansion.
-
C.
Steve Lunt
Steve Lunt is a music producer and A&R executive best known for his work on major pop hits in the late 1990s and early 2000s, including projects with artists like Britney Spears.
-
D.
Eric Leighton
Eric Leighton is a film director and animator best known for co-directing Disney's 2000 computer-animated feature "Dinosaur."
-
E.
Chris Coghill
Chris Coghill is a British actor and screenwriter best known for his roles in film and television dramas, including his appearance in the music-scene biopic "24 Hour Party People."
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65832688190aea688fee0a7cbdb |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bb05bb481909a0ad528e998fdf1 |
completed | May 8, 2026, 3:42 a.m. |
Created at: April 9, 2026, 9:52 p.m.