Triple
T5584907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imogen Poots |
E146729
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Fiona Goodall |
E325779
|
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: Fiona Goodall | Statement: [Imogen Poots, hasRelative, Fiona Goodall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fiona Goodall Context triple: [Imogen Poots, hasRelative, Fiona Goodall]
-
A.
Gillian Siddall
Gillian Siddall is a Canadian academic and university administrator who serves as president of Lakehead University.
-
B.
Lucinda Coxon
Lucinda Coxon is a British playwright and screenwriter known for her work on films such as "The Danish Girl" and various stage adaptations.
-
C.
Tahnee Welch
Tahnee Welch is an American actress and model best known for her role in the science-fiction film "Cocoon" and for being the daughter of actress Raquel Welch.
-
D.
Caroline Goodall
chosen
Caroline Goodall is an English actress known for her roles in major films such as Schindler's List, Hook, and Cliffhanger.
-
E.
Alison Telfer
Alison Telfer is a British academic and editor best known as the longtime partner and former wife of Monty Python member Terry Jones.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02085d0e48190b8d185fe7f3d8579 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097c480cc8190a42001a4c0b065a2 |
completed | March 23, 2026, 1:30 a.m. |
Created at: March 22, 2026, 3:37 p.m.