Triple
T33363585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy Peterson (Fright Night 1985) |
E854288
|
entity |
| Predicate | temporarilyBecomes |
P179546
|
FINISHED |
| Object | vampire |
—
|
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: vampire | Statement: [Amy Peterson (Fright Night 1985), temporarilyBecomes, vampire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: temporarilyBecomes Context triple: [Amy Peterson (Fright Night 1985), temporarilyBecomes, vampire]
-
A.
temporarilyPossessedBy
Indicates that an entity is in the possession or control of another entity for a limited or non-permanent period of time.
-
B.
willBecome
Indicates that one entity is expected or destined to change state or identity into another entity in the future.
-
C.
temporarilyRestored
Indicates that a previously unavailable or altered state, condition, or connection has been brought back to its former status for a limited or non-permanent period.
-
D.
usedBriefly
Indicates that an entity made short-term or momentary use of another entity or resource.
-
E.
isTemporary
Indicates that the relationship, state, or condition holds only for a limited or non-permanent duration.
- 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f722c1bc648190a79bfdc722dcaaa4 |
completed | May 3, 2026, 10:26 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f7221bc57c819085c1464a45e61b2f |
completed | May 3, 2026, 10:23 a.m. |
Created at: May 1, 2026, 1:34 a.m.