Triple
T35192028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Giant (Twin Peaks) |
E1016146
|
entity |
| Predicate | givesCluesTo |
P98584
|
FINISHED |
| Object | Dale Cooper |
—
|
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: Dale Cooper | Statement: [The Giant (Twin Peaks), givesCluesTo, Dale Cooper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: givesCluesTo Context triple: [The Giant (Twin Peaks), givesCluesTo, Dale Cooper]
-
A.
leavesCluesFor
chosen
Indicates that one entity intentionally or unintentionally provides hints, traces, or evidence that can be used by another entity to discover, understand, or infer something.
-
B.
keyClue
Indicates that something serves as an essential hint or piece of information needed to understand, solve, or unlock another related element.
-
C.
questionClueType
Indicates the specific type or category of clue associated with a given question.
-
D.
revealsMurderTo
Indicates that one entity discloses information about a murder to another entity.
-
E.
aimsToReveal
Indicates an intention or effort by one entity to make previously unknown, hidden, or unclear information, qualities, or facts apparent to 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78dc8627c8190b19f34a1019a30f1 |
completed | May 3, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:02 p.m.