Triple
T23559306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Gribble |
E579184
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Tap |
—
|
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: Tap | Statement: [David Gribble, workedOn, Tap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tap Context triple: [David Gribble, workedOn, Tap]
-
A.
Tap
chosen
Tap is a 1989 dance drama film showcasing Gregory Hines’s tap-dancing talent alongside an ensemble of legendary hoofers.
-
B.
Tap In
"Tap In" is a 2020 hip hop single by American rapper Saweetie that gained popularity for its catchy hook and sampling of Too Short’s classic track "Blow the Whistle."
-
C.
Tapping
Tapping is a masculine given name most notably borne by early American jurist and legal educator Tapping Reeve.
-
D.
Double Tap
Double Tap is the survival rule from the film "Zombieland" that emphasizes always shooting zombies twice to ensure they are fully eliminated.
-
E.
TAP
TAP is a scholarly journal published by the Association for Computing Machinery that focuses on research in applied perception and related areas of computer science.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af672db4819087dbff2c0dfadd7f |
completed | April 29, 2026, 7:12 a.m. |
Created at: April 17, 2026, 6:12 p.m.