Triple
T15133275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor Bennett |
E361473
|
entity |
| Predicate | hasIndependentLabelStatus |
P98684
|
FINISHED |
| Object | independent |
—
|
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: independent | Statement: [Taylor Bennett, hasIndependentLabelStatus, independent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndependentLabelStatus Context triple: [Taylor Bennett, hasIndependentLabelStatus, independent]
-
A.
hasStatusLabel
Indicates that an entity is associated with a specific status expressed as a human-readable label.
-
B.
independentLabel
chosen
Indicates that an entity has a label or designation that is assigned or maintained independently of other labels or external dependencies.
-
C.
hasLabel
Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
-
D.
hasUniqueStatus
Indicates that an entity possesses a status or condition that is distinct and not shared with any other entity in the given context.
-
E.
hasLabelSet
Indicates that an entity is associated with a specific collection or set of labels.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b29a4c819087f8818e3f5788f5 |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9713fe881909dec2fd3f6c84b39 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:06 a.m.