Triple
T12755223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gillian Murphy |
E304840
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gillian Murphy |
E304840
|
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: Gillian Murphy | Statement: [Gillian Murphy, name, Gillian Murphy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gillian Murphy Context triple: [Gillian Murphy, name, Gillian Murphy]
-
A.
Gillian Murphy
chosen
Gillian Murphy is a renowned American ballet dancer and longtime principal with American Ballet Theatre, celebrated for her powerful technique and dramatic artistry.
-
B.
Claire Fox
Claire Fox is a British politician, writer, and former Brexit Party MEP known for her libertarian views and commentary on free speech and civil liberties.
-
C.
Melissa George
Melissa George is an Australian actress known for her roles in both film and television, including prominent performances in horror and thriller genres.
-
D.
Kelly Reilly
Kelly Reilly is an English actress known for her roles in films like "Flight" and the "Sherlock Holmes" series, as well as the television drama "Yellowstone."
-
E.
Rebecca Hall
Rebecca Hall is a British-American actress and filmmaker known for her nuanced performances in films such as "Vicky Cristina Barcelona," "The Town," and "Christine."
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8b57b88190b29b8fdca415c81c |
completed | April 10, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ac916748190821c0cdabe54fcbc |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 5:27 p.m.