Triple
T21112943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Babbitt |
E520217
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Babbitt |
—
|
NE NERFINISHED |
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: Babbitt | Statement: [Bruce Babbitt, familyName, Babbitt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Babbitt Context triple: [Bruce Babbitt, familyName, Babbitt]
-
A.
Babbitt
chosen
Babbitt is a surname most notably associated with American literary critic and academic Irving Babbitt.
-
B.
Babbitt
Babbitt is a 1934 American film adaptation of Sinclair Lewis’s novel, featuring Guy Kibbee in the title role as a middle-class businessman confronting the emptiness of his conformist life.
-
C.
Babbit
Babbit is a cartoon character from the Looney Tunes universe, best known as one of the two mischievous cats who repeatedly try to catch Tweety Bird.
-
D.
Solidere
Solidere is a Lebanese real estate company responsible for the post-civil war reconstruction and development of Beirut’s central district.
-
E.
Marber
Marber is a surname most notably associated with English playwright, screenwriter, and director Patrick Marber.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72103b3888190a19e9a40f01fb439 |
completed | April 21, 2026, 7:02 a.m. |
Created at: April 16, 2026, 2:54 p.m.