Triple
T24857917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La secta del Fénix |
E622076
|
entity |
| Predicate | personajesColectivos |
P52939
|
FINISHED |
| Object | la Compañía del Fénix |
—
|
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: la Compañía del Fénix | Statement: [La secta del Fénix, personajesColectivos, la Compañía del Fénix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: personajesColectivos Context triple: [La secta del Fénix, personajesColectivos, la Compañía del Fénix]
-
A.
notableCharacterGroup
Indicates that a group of characters is especially prominent, significant, or noteworthy within a given context or work.
-
B.
collectiveBody
Indicates that multiple individuals are grouped and act together as a single collective entity or body.
-
C.
hasCollectiveCharacter
Indicates that a group or set of entities is treated as a unified whole, sharing a collective nature or identity rather than being considered solely as separate individuals.
-
D.
associatedCharacters
Indicates that two or more characters are linked or connected through some relationship, involvement, or relevance to each other.
-
E.
collectivelyKnownAs
chosen
Indicates that multiple entities are referred to together under a single shared name or designation.
- F. None of above.
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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 5:21 a.m.