Triple
T10281875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halle Berry |
E241118
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Swordfish |
E470286
|
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: Swordfish | Statement: [Halle Berry, notableWork, Swordfish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swordfish Context triple: [Halle Berry, notableWork, Swordfish]
-
A.
Swordfish
chosen
Swordfish is a 2001 action thriller film known for its high-tech heist plot, stylized action sequences, and performances by John Travolta, Hugh Jackman, and Halle Berry.
-
B.
Marlin
Marlin is the cautious and devoted clownfish father from Pixar's "Finding Nemo" franchise, known for his ocean-spanning quest to rescue his son.
-
C.
El Gran Pez
El Gran Pez is the popular nickname of the Mexican football club Dorados de Sinaloa, reflecting its identity and local cultural ties.
-
D.
The Shark
"The Shark" is a poem by Greek national poet Dionysios Solomos, reflecting his Romantic style and thematic focus on nature and the human condition.
-
E.
Saw Sea
The Saw Sea is a body of water located off the western part of Timor in Southeast Asia.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2a177b48190aab7d7857f5bba7b |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f8352a108190b3692a2de3cb4dea |
completed | April 9, 2026, 12:52 a.m. |
Created at: April 6, 2026, 11:39 a.m.