Triple
T16457825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mantis |
E399725
|
entity |
| Predicate | fightsAgainst |
P4567
|
FINISHED |
| Object | Tai Lung |
E351735
|
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: Tai Lung | Statement: [Mantis, fightsAgainst, Tai Lung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tai Lung Context triple: [Mantis, fightsAgainst, Tai Lung]
-
A.
Tai Lung
chosen
Tai Lung is the powerful snow leopard martial artist who serves as the main antagonist in the first Kung Fu Panda film.
-
B.
Shifu
Shifu is the wise and disciplined red panda kung fu master who trains Po and the Furious Five in the Kung Fu Panda film series.
-
C.
Master Oogway
Master Oogway is a wise, elderly tortoise kung fu master and spiritual mentor in the Kung Fu Panda series, revered as the founder of kung fu and the guiding force behind the heroes.
-
D.
Tai-tsu
Tai-tsu is an alternative romanization of "Taizu," a title historically used for founding emperors in various Chinese dynasties.
-
E.
Chi-Fu
Chi-Fu is the pompous and bureaucratic imperial advisor in Disney's 1998 animated film "Mulan," often serving as a comedic antagonist to the protagonist's efforts.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d7ef5cc819084cfeb1a3e39d3cc |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f51d93081909ede0adcf8e604d4 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.