Triple
T10280864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Mudd |
E241095
|
entity |
| Predicate | hasNotableProducer |
P17041
|
FINISHED |
| Object | Lianne Halfon |
E267897
|
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: Lianne Halfon | Statement: [Mr. Mudd, hasNotableProducer, Lianne Halfon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lianne Halfon Context triple: [Mr. Mudd, hasNotableProducer, Lianne Halfon]
-
A.
Lianne Halfon
chosen
Lianne Halfon is an American film producer known for her work on acclaimed independent films such as "Juno," "Young Adult," and "Ghost World."
-
B.
Leora Watts
Leora Watts is a bold, sexually assertive landlady in Flannery O’Connor’s novel "Wise Blood," known for her coarse humor and role in challenging the protagonist’s religious obsessions.
-
C.
Fiona Gubelmann
Fiona Gubelmann is an American actress best known for her role as Dr. Morgan Reznick on the medical drama series "The Good Doctor."
-
D.
Darlanne Fluegel
Darlanne Fluegel was an American actress and model known for her roles in 1980s films and television, including prominent appearances in crime and action genres.
-
E.
Tessa Feldman
Tessa Feldman is the mother of renowned British actress Fenella Fielding.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2a0c90c8190ad6ee479a32e5a95 |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b0e4eac8190af28db3d334852cb |
completed | April 10, 2026, 9:26 p.m. |
Created at: April 6, 2026, 11:38 a.m.