Triple
T35806813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Deadman |
E1035121
|
entity |
| Predicate | portraysFromLocation |
P57699
|
FINISHED |
| Object | Death Valley |
E5422
|
NE 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: Death Valley | Statement: [The Deadman, portraysFromLocation, Death Valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysFromLocation Context triple: [The Deadman, portraysFromLocation, Death Valley]
-
A.
portraysPlace
Indicates that one entity visually or narratively represents or depicts a particular place.
-
B.
plotLocation
Indicates the relationship between a creative work and the place or setting where its story or events occur.
-
C.
portrayedByRealWorldLocation
Indicates that a fictional or represented location is depicted or substituted by an actual real-world location.
-
D.
portrayedAsFrom
chosen
Indicates that one entity is depicted or represented as originating from, or belonging to, the place or source specified by another entity.
-
E.
portraysState
Indicates that one entity visually or symbolically represents or depicts the condition, status, or situation of another entity.
- F. None of above.
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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff59b33a38819086cc9aa19b81748b |
completed | May 9, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38916c5da08190ad03035b6c4fca3b |
completed | June 22, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69ff587758f88190a39c2164341dc554 |
completed | May 9, 2026, 3:53 p.m. |
Created at: May 3, 2026, 4:06 p.m.