Triple
T9763281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelle Schumacher |
E236717
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Joe Simmons |
E236719
|
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: Joe Simmons | Statement: [Michelle Schumacher, hasRelative, Joe Simmons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Simmons Context triple: [Michelle Schumacher, hasRelative, Joe Simmons]
-
A.
Joe Simmons
chosen
Joe Simmons is the son of American actor J.K. Simmons.
-
B.
Steve Deever
Steve Deever is a character in Arthur Miller’s play "All My Sons," a former business partner scapegoated and imprisoned for a wartime manufacturing crime.
-
C.
Su Rogers
Su Rogers is a British architect and academic known for her early partnership in the practice that evolved into the high-tech architecture firm Richard Rogers Partnership.
-
D.
Howard Stark
Howard Stark is a brilliant industrialist, inventor, and co-founder of S.H.I.E.L.D. in the Marvel universe, known for shaping advanced technology and influencing his son Tony Stark’s legacy.
-
E.
Albert Stark
Albert Stark is the timid, unlucky sheep farmer protagonist of the comedy Western film "A Million Ways to Die in the West," portrayed by Seth MacFarlane.
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda09d8bc88190808145f141b4a9f8 |
completed | April 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c41022908190a5f55291a2323691 |
completed | April 5, 2026, 2:08 a.m. |
Created at: March 30, 2026, 8:25 p.m.