Triple
T5692543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Topor |
E125458
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Nuts |
E247515
|
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: Nuts | Statement: [Tom Topor, notableWork, Nuts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nuts Context triple: [Tom Topor, notableWork, Nuts]
-
A.
Nuts
Nuts is the short name of the Modesto Nuts, a Minor League Baseball team based in Modesto, California.
-
B.
Almond
Almond is an edible tree nut known for its mild flavor, nutritional value, and wide use in foods, oils, and plant-based dairy alternatives.
-
C.
Kakkalos
Kakkalos is a Greek surname most notably associated with Christos Kakkalos, the first recorded climber to reach the summit of Mount Olympus.
-
D.
Nuts in May
chosen
Nuts in May is a 1976 British television comedy film directed by Mike Leigh, best known for its satirical portrayal of an eccentric couple’s disastrous camping holiday.
-
E.
Pennut
Pennut was an ancient Egyptian official known from his decorated rock-cut tomb at Aniba in Lower Nubia.
- 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_69c0082bb19c8190823a4facd3cba79b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023e678c48190824d35d276985311 |
completed | March 22, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a4f2bfc8190bc56c094f9ae9ce1 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:44 p.m.