Triple
T11088443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maura Tierney |
E262184
|
entity |
| Predicate | hasActedIn |
P15620
|
FINISHED |
| Object | Semi-Pro |
E76736
|
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: Semi-Pro | Statement: [Maura Tierney, hasActedIn, Semi-Pro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semi-Pro Context triple: [Maura Tierney, hasActedIn, Semi-Pro]
-
A.
Semi-Pro
chosen
Semi-Pro is a 2008 sports comedy film starring Will Ferrell as the owner-coach-player of a struggling 1970s ABA basketball team.
-
B.
Semi-Tough
Semi-Tough is a 1977 sports comedy film that satirizes professional football and 1970s self-help culture, starring Burt Reynolds, Kris Kristofferson, and Jill Clayburgh.
-
C.
The Amateur
The Amateur is a 1981 espionage thriller film about a CIA cryptographer who seeks personal revenge after his fiancée is killed in a terrorist attack.
-
D.
The Amateur
The Amateur is one of the most prestigious and historic amateur golf championships in the world, organized by The R&A and typically played annually in the United Kingdom.
-
E.
Amadores
Amadores is a popular beach resort area on the southwest coast of Gran Canaria in Spain’s Canary Islands, known for its calm waters and man-made white-sand beach.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799e844b08190987c7c8e8d626510 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d66ded88190877a20a10f012d6b |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:27 p.m.