Triple
T13126922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Murawski |
E311866
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Chris Innis |
E868274
|
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 Innis | Statement: [Bob Murawski, spouse, Chris Innis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Innis Context triple: [Bob Murawski, spouse, Chris Innis]
-
A.
Chris Innis
chosen
Chris Innis is an American film editor best known for her Academy Award-winning work on the war drama "The Hurt Locker."
-
B.
Jan Coggan
Jan Coggan is a genial, hard-drinking farm laborer and loyal friend who provides comic relief and rustic wisdom in Thomas Hardy’s novel "Far from the Madding Crowd."
-
C.
Jody Egginton
Jody Egginton is a British motorsport engineer best known for serving as technical director of the Formula One team Scuderia AlphaTauri.
-
D.
Ainslie Pryor
Ainslie Pryor was an American character actor active in the 1950s, known for supporting roles in film and television Westerns.
-
E.
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.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819aac388190b59bf43cc6a49d0c |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eade84f881909d5db24bc5c6e072 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:07 p.m.