Triple
T21210798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nancy Thompson |
E522711
|
entity |
| Predicate | deathStatusInFranchise |
P18827
|
FINISHED |
| Object | dies in A Nightmare on Elm Street 3: Dream Warriors |
—
|
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: dies in A Nightmare on Elm Street 3: Dream Warriors | Statement: [Nancy Thompson, deathStatusInFranchise, dies in A Nightmare on Elm Street 3: Dream Warriors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deathStatusInFranchise Context triple: [Nancy Thompson, deathStatusInFranchise, dies in A Nightmare on Elm Street 3: Dream Warriors]
-
A.
deathStatus
Indicates whether an entity is alive, dead, or in another specified state related to mortality.
-
B.
deathApprox
Indicates that an entity’s death occurred at an approximate, rather than exact, time or date.
-
C.
hasDiedInSeries
chosen
Indicates that an entity has died at some point within the narrative of a particular series.
-
D.
deathOutcome
Indicates that an event, condition, or action results in the death of the affected entity.
-
E.
containsDeathOf
Indicates that the subject includes, depicts, or involves the death of the referenced 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7346eb20c8190aeb3c0cc0a24aaf9 |
completed | April 21, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:37 p.m.