Triple
T17436365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ran |
E424010
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | Herald Ace |
—
|
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: Herald Ace | Statement: [Ran, productionCompany, Herald Ace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herald Ace Context triple: [Ran, productionCompany, Herald Ace]
-
A.
Herald Ace
chosen
Herald Ace is a Japanese film and television production company known for developing and producing a variety of live-action and animated works.
-
B.
Ever Ace
Ever Ace is one of the world’s largest container ships, operated by the Taiwanese shipping company Evergreen Marine.
-
C.
Lance the Lancer
Lance the Lancer is the armored knight mascot representing California Baptist University’s athletic teams and school spirit.
-
D.
Samuray del Sol
Samuray del Sol is a Mexican-American professional wrestler best known for his high-flying lucha libre style and his tenure in WWE under the ring name Kalisto.
-
E.
Akersh Arcel
Akersh Arcel is a film producer known for working on the 2017 adaptation of Stephen King’s "The Dark Tower."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4490426008190b474ed76aca5d6f3 |
completed | April 19, 2026, 3:16 a.m. |
Created at: April 10, 2026, 5:46 a.m.