Triple
T37971253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | People v. Balfour |
E947290
|
entity |
| Predicate | bodyOfJulianKingFoundIn |
P189682
|
FINISHED |
| Object | abandoned SUV |
—
|
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: abandoned SUV | Statement: [People v. Balfour, bodyOfJulianKingFoundIn, abandoned SUV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodyOfJulianKingFoundIn Context triple: [People v. Balfour, bodyOfJulianKingFoundIn, abandoned SUV]
-
A.
bodyDiscoveredIncorrupt
Indicates that a body was found in an unusually preserved or undecayed state, contrary to normal expectations of decomposition.
-
B.
rescuesBodyOf
Indicates that one entity retrieves and brings to safety the body of another entity from a dangerous or inaccessible situation.
-
C.
discoveryOfRemainsDate
Indicates the date on which the remains were discovered.
-
D.
discoveredAsDeadBy
Indicates that one entity was found to be dead by another entity, who discovered their deceased state.
-
E.
bodiesExhumed
Indicates that previously buried bodies have been dug up and removed from their place of interment.
- 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_69f76ef7db908190bba6086673a32300 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc7b6c2c88190ad4f58980834053c |
completed | May 6, 2026, 10:59 p.m. |
Created at: May 3, 2026, 4:20 p.m.