Triple
T32689003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liu Bei faction |
E835803
|
entity |
| Predicate | notableStrategist |
P126894
|
FINISHED |
| Object | Zhuge Liang |
E188257
|
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: Zhuge Liang | Statement: [Liu Bei faction, notableStrategist, Zhuge Liang]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableStrategist Context triple: [Liu Bei faction, notableStrategist, Zhuge Liang]
-
A.
notableTactician
chosen
Indicates that an entity is recognized for exceptional skill and strategic ability in planning and executing tactics.
-
B.
notableCommanderOf
Indicates that an individual is a distinguished or historically significant commander associated with leading a particular military unit, force, or organization.
-
C.
notableFormerLeader
Indicates that the subject was once a leader of the object and is recognized as particularly significant or prominent in that former leadership role.
-
D.
notableLeaderSide
Indicates that a person is a prominent or distinguished leader associated with a particular side, faction, or party in a conflict or competition.
-
E.
notableCountryRole
Indicates that an entity holds a significant or prominent role, position, or function within a particular country.
- F. None of above.
Provenance (4 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_69f3493211388190993801216afbc2a7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38cb70ea788190a694e7363c777a3c |
completed | June 22, 2026, 5:43 a.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:09 a.m.