Triple
T5884822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life of Pi |
E130835
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Gita Patel |
E566854
|
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: Gita Patel | Statement: [Life of Pi, featuresCharacter, Gita Patel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gita Patel Context triple: [Life of Pi, featuresCharacter, Gita Patel]
-
A.
Gita Patel
chosen
Gita Patel is the mother of Pi Patel, the protagonist of Yann Martel’s novel "Life of Pi," and is portrayed as a compassionate and grounding influence in his life.
-
B.
Rashmi Patel
Rashmi Patel is a personal name shared by multiple individuals, typically of Indian origin, and may refer to various professionals or public figures.
-
C.
Palak Patel
Palak Patel is a film producer known for working on major Hollywood fantasy and action films, including "Snow White and the Huntsman."
-
D.
Jhaverba Patel
Jhaverba Patel was the wife of Sardar Vallabhbhai Patel, a key leader of the Indian independence movement and India’s first Deputy Prime Minister.
-
E.
Persis Khambatta
Persis Khambatta was an Indian model and actress best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
- 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_69c6409a1b588190a963b0f6944ba22c |
completed | March 27, 2026, 8:32 a.m. |
Created at: March 22, 2026, 3:57 p.m.