Triple
T3819988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ransom |
E84348
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Mel Gibson |
E119806
|
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: Mel Gibson | Statement: [Ransom, starring, Mel Gibson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mel Gibson Context triple: [Ransom, starring, Mel Gibson]
-
A.
Mel Gibson
chosen
Mel Gibson is an American-born Australian actor and filmmaker best known for starring in the "Mad Max" and "Lethal Weapon" series and directing the Academy Award–winning film "Braveheart."
-
B.
Russell Crowe
Russell Crowe is an Academy Award–winning New Zealand–born actor renowned for intense, transformative performances in films such as Gladiator and A Beautiful Mind.
-
C.
Mickey Rourke
Mickey Rourke is an American actor and former boxer known for his intense, brooding performances in films such as "The Wrestler," "9½ Weeks," and "Angel Heart."
-
D.
Michael Clarke Duncan
Michael Clarke Duncan was an American actor best known for his Oscar-nominated performance as the gentle giant John Coffey in the film "The Green Mile."
-
E.
Charles Bronson
Charles Bronson was an American film actor best known for his tough-guy roles in action and Western movies, including the "Death Wish" series.
- 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeea601d408190b09dc486e77488d4 |
completed | March 9, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb466a108190ac203ee00ce58f04 |
completed | March 14, 2026, 6:08 a.m. |
Created at: March 9, 2026, 3:17 p.m.