Triple
T35214468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanx |
E1016781
|
entity |
| Predicate | stringArranger |
P123636
|
FINISHED |
| Object | Tony Visconti |
—
|
NE NERFINISHED |
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: Tony Visconti | Statement: [Tanx, stringArranger, Tony Visconti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stringArranger Context triple: [Tanx, stringArranger, Tony Visconti]
-
A.
usesStringArrangement
Indicates that one entity employs or relies on a particular configuration or ordering of strings (such as text sequences or character arrays) to perform its function or achieve an outcome.
-
B.
lettersRearrangedToForm
Indicates that the letters of one string or word are rearranged to form another string or word.
-
C.
arranges
chosen
Indicates that one entity organizes, coordinates, or puts in order some event, objects, or circumstances involving another entity.
-
D.
arrangement
Indicates a relationship where entities are organized, ordered, or positioned in a particular configuration or sequence relative to one another.
-
E.
needleArrangement
Indicates how needles are positioned or organized relative to each other in a given context.
- F. None of above.
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_69f76ddf549c8190869d0af076fd2c28 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.