Triple
T8000659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Benn |
E186239
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Benn |
E371343
|
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: Benn | Statement: [Tony Benn, familyName, Benn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benn Context triple: [Tony Benn, familyName, Benn]
-
A.
Benn
chosen
Benn is a surname most prominently associated with Canadian professional ice hockey player Jamie Benn.
-
B.
Bennie
Bennie is a masculine given name, often used as a diminutive of Benjamin or Bennett.
-
C.
Ben Benny
Ben Benny is an alternate or lesser-known name associated with the American folklore giant Paul Bunyan.
-
D.
Bon
Bon is an ancient Tibetan spiritual tradition and religion, distinct from but historically intertwined with Buddhism, that encompasses rituals, cosmology, and practices rooted in the pre-Buddhist culture of Tibet.
-
E.
Babo
Babo is a central character in Herman Melville’s novella "Benito Cereno," known as the cunning leader of a slave revolt who manipulates appearances aboard a Spanish slave ship.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c9b67988190a8a4a2c960017400 |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe11aefc88190bcf614e936455927 |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 5:17 p.m.