Triple
T13902391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Looking |
E334257
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Michael Lannan |
E1068742
|
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: Michael Lannan | Statement: [Looking, executiveProducer, Michael Lannan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Lannan Context triple: [Looking, executiveProducer, Michael Lannan]
-
A.
Michael Lannan
chosen
Michael Lannan is an American television writer and producer best known for creating the HBO series "Looking," which explores the lives of gay men in San Francisco.
-
B.
Mike Seaver
Mike Seaver is the mischievous yet good-hearted teenage son and central figure in the 1980s American sitcom "Growing Pains."
-
C.
Todd Keller
Todd Keller is a musician best known for his past role as a member of the American psychedelic rock band The Black Angels.
-
D.
Dwight McCarthy
Dwight McCarthy is a tough, morally driven antihero from Frank Miller’s Sin City graphic novel series, known for his violent past, protective nature, and central role in the storylines involving Old Town.
-
E.
Brett Keller
Brett Keller is the chief executive officer of Priceline, a major online travel booking company.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d9c7a48190ad8fb0ca676f4f7b |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce7638a88190aae1b59c00ee27ce |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 10:16 p.m.