Triple
T29963543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Limit |
E761110
|
entity |
| Predicate | hookPhrase |
P168300
|
FINISHED |
| Object | No no, no no no no |
—
|
LITERAL 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: No no, no no no no | Statement: [No Limit, hookPhrase, No no, no no no no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hookPhrase Context triple: [No Limit, hookPhrase, No no, no no no no]
-
A.
hookOf
Indicates that one entity functions as a hook or hooking component that is part of, attached to, or used by another entity.
-
B.
symbolicPhrase
Indicates a relationship where one entity is represented or expressed by a symbolic phrase associated with another entity.
-
C.
mainPhrase
Indicates that the referenced phrase functions as the primary or central phrase within a larger linguistic or structural unit.
-
D.
hookType
Indicates the specific kind or category of hook associated with or used by an entity.
-
E.
usedPhrase
Indicates that one entity employed or expressed a particular phrase in speech, writing, or another form of communication.
- F. None of above. chosen
Provenance (4 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_69f22466327481908ba6db916837bece |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67866e9248190b7ba218f9ca2ae8d |
completed | May 2, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 6:29 p.m.