Triple
T4509971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hallie Flanagan |
E102026
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Hallie Flanagan |
E102026
|
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: Hallie Flanagan | Statement: [Hallie Flanagan, name, Hallie Flanagan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hallie Flanagan Context triple: [Hallie Flanagan, name, Hallie Flanagan]
-
A.
Hallie Flanagan
chosen
Hallie Flanagan was an influential American theater director, producer, and educator best known for leading innovative, socially engaged stage productions during the New Deal era.
-
B.
Vivian Bagley
Vivian Bagley is a central comedic character on the classic American sitcom "The Lucy Show," known as Lucy Carmichael’s best friend and roommate.
-
C.
Lottie Landis
Lottie Landis was an American silent-era film actress and the sister of actor Cullen Landis.
-
D.
Alyce Mayo
Alyce Mayo is an American actress and former wife of acclaimed actor Peter Falk.
-
E.
Laura Ricketts
Laura Ricketts is an American attorney, co-owner of the Chicago Cubs, and prominent LGBTQ+ activist and political donor.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd571138b88190b68bbfc4300aaf9d |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f814dd081908b07ce0c2abee3c1 |
completed | March 20, 2026, 5:10 p.m. |
Created at: March 20, 2026, 1:01 p.m.