Triple
T15681242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Stantz |
E377580
|
entity |
| Predicate | usesEquipment |
P2728
|
FINISHED |
| Object | Ecto-1 |
E1110051
|
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: Ecto-1 | Statement: [Ray Stantz, usesEquipment, Ecto-1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ecto-1 Context triple: [Ray Stantz, usesEquipment, Ecto-1]
-
A.
Ecto-1
chosen
Ecto-1 is the iconic converted 1959 Cadillac hearse used by the Ghostbusters as their primary ghost-hunting vehicle.
-
B.
Zoomerang
Zoomerang is a steel boomerang-style roller coaster known for its forward and backward inversions at Lake Compounce in Connecticut.
-
C.
T-Ray
T-Ray is a powerful sorcerer and mercenary in Marvel Comics who serves as one of Deadpool’s most dangerous and obsessive arch-enemies.
-
D.
Totak
Totak is a lake in Vinje municipality in Vestfold og Telemark county, Norway, known for its scenic mountain surroundings and role in local hydropower.
-
E.
Toa
Toa are heroic elemental warriors central to the Lego Bionicle storyline, known for protecting the Matoran and battling evil forces in their universe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f306a1c8190a819541a3cc51f5a |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee2a33c81908fcd120ca670b309 |
completed | May 9, 2026, 5:29 p.m. |
Created at: April 10, 2026, 4:16 a.m.