Triple
T12648212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rob Cohen |
E302086
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Dragonheart |
E407471
|
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: Dragonheart | Statement: [Rob Cohen, directed, Dragonheart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dragonheart Context triple: [Rob Cohen, directed, Dragonheart]
-
A.
Dragonheart
chosen
Dragonheart is a 1996 fantasy adventure film renowned for its groundbreaking CGI dragon and the voice performance of Sean Connery.
-
B.
Dragonslayer
Dragonslayer is a 1981 dark fantasy film renowned for its groundbreaking dragon visual effects and creature design.
-
C.
Willow
Willow is a 1988 fantasy adventure film directed by Ron Howard that follows an aspiring sorcerer who must protect a prophesied child from an evil queen.
-
D.
Willow
Willow is a small community in south-central Alaska known as a gateway to outdoor recreation, including fishing, hiking, and dog mushing.
-
E.
Willow
Willow is a feminine given name often associated with the graceful willow tree and commonly used in English-speaking countries.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9615cf6f48190bd0983cf7465ab15 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6687bbb408190b80da2d0310f82c5 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:17 p.m.