Triple
T3939016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Doctor |
E90985
|
entity |
| Predicate | companion |
P2932
|
FINISHED |
| Object | Leela |
E352363
|
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: Leela | Statement: [The Doctor, companion, Leela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leela Context triple: [The Doctor, companion, Leela]
-
A.
Leela
chosen
Leela is a companion of the Fourth Doctor in the classic British science fiction television series Doctor Who.
-
B.
Leela
Leela is the one-eyed, tough yet compassionate spaceship captain from the animated television series "Futurama."
-
C.
Madhavi
Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
-
D.
Aruna
Aruna is a feminine given name most notably borne by Indian independence activist and political leader Aruna Asaf Ali.
-
E.
Lalita
Lalita is a revered aspect of the Hindu goddess Devi, celebrated as a beautiful, benevolent, and playful form of the Divine Mother often associated with Sri Vidya worship.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedfb12b88190a6ca6574b1aadb6e |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b528922a548190a8e5339deacaefd9 |
completed | March 14, 2026, 9:21 a.m. |
Created at: March 9, 2026, 3:24 p.m.