Triple
T3264247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Filerman |
E68485
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Falcon Crest |
E3525
|
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: Falcon Crest | Statement: [Michael Filerman, notableWork, Falcon Crest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Falcon Crest Context triple: [Michael Filerman, notableWork, Falcon Crest]
-
A.
Falcon Crest
chosen
Falcon Crest is an American prime-time television soap opera that aired in the 1980s, centered on the power struggles within a wealthy California wine-making family.
-
B.
All My Children
All My Children is a long-running American television soap opera that aired on ABC, known for its socially conscious storylines and iconic characters like Erica Kane.
-
C.
Guiding Light
Guiding Light is a long-running American television soap opera renowned for its multi-decade run on radio and TV and its influential role in daytime drama history.
-
D.
One Life to Live
One Life to Live is a long-running American soap opera that aired on ABC, known for its socially conscious storylines and complex, interwoven family dramas.
-
E.
Bel-Air
Bel-Air is a Paris Métro station located in the 12th arrondissement of Paris, France.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafcb2da08190a7f4fefdfe6d0098 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ee82a78819082582a24bac97f44 |
completed | March 12, 2026, 10:01 a.m. |
Created at: March 8, 2026, 3:09 p.m.