Triple
T15126824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Look Back in Anger (1989 television film) |
E361311
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Gerard Horan |
E887911
|
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: Gerard Horan | Statement: [Look Back in Anger (1989 television film), castMember, Gerard Horan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerard Horan Context triple: [Look Back in Anger (1989 television film), castMember, Gerard Horan]
-
A.
Gerard Horan
chosen
Gerard Horan is a British actor known for his work in television, film, and theatre, often appearing in UK dramas and comedies.
-
B.
James Horan
James Horan is an American actor and voice actor known for his work in television, film, and video games, often portraying intense or villainous characters.
-
C.
Gerard McSorley
Gerard McSorley is an Irish actor known for his work in film, television, and theatre, often portraying intense or authoritative characters.
-
D.
Gerard Kennedy
Gerard Kennedy is an Australian actor best known for his work in television dramas and films, including a prominent role in the acclaimed film "Newsfront."
-
E.
Bill Heelan
Bill Heelan is a developer best known for creating the software project Archie.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005a1b9288190954f2d92549805e5 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a61136081908198806944c81808 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:06 a.m.