Triple
T38011750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lynette |
E948380
|
entity |
| Predicate | initiallyDespises |
P152485
|
FINISHED |
| Object | Gareth |
—
|
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: Gareth | Statement: [Lynette, initiallyDespises, Gareth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initiallyDespises Context triple: [Lynette, initiallyDespises, Gareth]
-
A.
dislikes
Indicates that one entity has a negative feeling or aversion toward another entity.
-
B.
initiallyEnemyOf
chosen
Indicates that one entity starts out in a state of enmity or opposition toward another at the beginning of a specified time or situation.
-
C.
describesContemptAs
Indicates that one entity characterizes or portrays another entity or subject in terms of contempt.
-
D.
isEmbittered
Indicates that an entity harbors persistent bitterness or resentment, typically as a result of past experiences or perceived wrongs.
-
E.
correctsAberration
Indicates that one entity counteracts, fixes, or compensates for an error, flaw, or deviation present in another entity.
- 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_69f76efb4b10819092c8c2ba28ac06a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: May 3, 2026, 4:20 p.m.