Triple
T16457800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mantis |
E399725
|
entity |
| Predicate | allyOf |
P4662
|
FINISHED |
| Object | Monkey |
E828470
|
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: Monkey | Statement: [Mantis, allyOf, Monkey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monkey Context triple: [Mantis, allyOf, Monkey]
-
A.
Monkey
chosen
Monkey is a swift, acrobatic kung fu master and member of the Furious Five in the Kung Fu Panda franchise, known for his playful personality and agility in combat.
-
B.
Monkey
"Monkey" is a song by the British rock band Bush from their 1994 debut album *Sixteen Stone*.
-
C.
Love Monkey
Love Monkey is a short-lived 2006 American television dramedy series about a music executive navigating his personal and professional life in New York City.
-
D.
Simian
Simian was a British indie rock and electronic band best known for its later incarnation as Simian Mobile Disco and for influencing the early 2000s electro and indie scenes.
-
E.
Macaca
Macaca is a diverse genus of Old World monkeys that includes numerous macaque species widely distributed across Asia and parts of North Africa.
- 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.