Triple
T37550762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huojin pandaren |
E933584
|
entity |
| Predicate | sharesStartingExperienceWith |
P202804
|
FINISHED |
| Object | Tushui pandaren |
—
|
NE NERFINISHED |
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: Tushui pandaren | Statement: [Huojin pandaren, sharesStartingExperienceWith, Tushui pandaren]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesStartingExperienceWith Context triple: [Huojin pandaren, sharesStartingExperienceWith, Tushui pandaren]
-
A.
sharesExperiencesIn
Indicates that one entity communicates or participates in personal or relevant experiences within a particular context, setting, or medium with another entity.
-
B.
sharesInitialWith
Indicates that two entities have names or identifiers that begin with the same initial character.
-
C.
sharesStartWith
Indicates that two entities have starting segments or initial portions that are identical or share the same beginning.
-
D.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
E.
sharesTimeWith
Indicates that two entities are present or active during overlapping or the same time period.
- F. None of above. chosen
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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a00bc079314819096271bba60bee52d |
completed | May 10, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_6a00bba5bd408190ace5db0c4a90dc6f |
completed | May 10, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_6a00bc06bf3081908973b6c05797299f |
completed | May 10, 2026, 5:10 p.m. |
Created at: May 3, 2026, 4:17 p.m.