Triple
T22892173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tad |
E568068
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Craig Montgomery |
—
|
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: Craig Montgomery | Statement: [Tad, hasMember, Craig Montgomery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Craig Montgomery Context triple: [Tad, hasMember, Craig Montgomery]
-
A.
Craig Montgomery
chosen
Craig Montgomery is a fictional character from the soap opera "As the World Turns," known for his complex romantic entanglements and scheming behavior.
-
B.
Craig Montgomery
Craig Montgomery is a music producer best known for his work on Nirvana’s compilation album "Incesticide."
-
C.
Steve Montgomery
Steve Montgomery is a central teenage character in the found-footage science fiction film "Chronicle," known for gaining telekinetic powers along with his friends.
-
D.
Travis Montgomery
Travis Montgomery is a fictional character from the soap opera "All My Children," known primarily as one of Erica Kane's former husbands.
-
E.
Travis Montgomery
Travis Montgomery is a central firefighter character in the television drama "Station 19," known for his compassion, humor, and dedication to his crew.
- 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_69e2458c23ec81908fa2570692c6614f |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f17fc66dbc81909b31c068d7f2c531 |
completed | April 29, 2026, 3:49 a.m. |
Created at: April 17, 2026, 3:40 p.m.