Triple
T3270434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halliwell Hobbes |
E68633
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Halliwell |
E68633
|
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: Halliwell | Statement: [Halliwell Hobbes, givenName, Halliwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halliwell Context triple: [Halliwell Hobbes, givenName, Halliwell]
-
A.
Hayley
Hayley is a Canadian former ice hockey player widely regarded as one of the greatest female hockey players of all time.
-
B.
Halliwell Hobbes
chosen
Halliwell Hobbes was a British character actor known for his numerous supporting roles in Hollywood films during the 1930s and 1940s.
-
C.
Bella Higginbotham
Bella Higginbotham is an American actress best known for her role in the film "Troop Zero" and for appearing in various television and streaming series.
-
D.
Hailey
Hailey is a parish in Hertfordshire, England, associated with the town of Haileybury.
-
E.
Hailey
Hailey is a small rural village located within the district of West Oxfordshire in England.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff349148190beae8c0994b7ad83 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28f02a620819091356c965b2aceef |
completed | March 12, 2026, 10:01 a.m. |
Created at: March 8, 2026, 3:09 p.m.