Triple
T5884815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life of Pi |
E130835
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Richard Parker |
E125487
|
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: Richard Parker | Statement: [Life of Pi, mainCharacter, Richard Parker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Parker Context triple: [Life of Pi, mainCharacter, Richard Parker]
-
A.
Richard Parker
chosen
Richard Parker is the Bengal tiger who becomes the central animal companion and symbolic figure in Yann Martel’s novel *Life of Pi*.
-
B.
Richard Parker
Richard Parker is a British Labour politician who serves as the Mayor of the West Midlands, overseeing regional governance and economic development in the area.
-
C.
James Crabe
James Crabe was an American cinematographer best known for his work on influential films of the 1970s and 1980s, including the original Rocky.
-
D.
Ahab
Ahab is a biblical king of Israel known for his wicked reign, idolatry, and conflict with the prophet Elijah.
-
E.
Ned Land
Ned Land is a rugged, harpoon-wielding Canadian sailor known for his bravery and skepticism aboard Captain Nemo’s submarine Nautilus in adaptations of Jules Verne’s classic novel.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0367743508190bae211e9ce8f9690 |
completed | March 22, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b13839f48190b23f22d5317eb571 |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:57 p.m.