Triple
T24006899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Year of the Dog |
E594412
|
entity |
| Predicate | trineCompanions |
P154837
|
FINISHED |
| Object | Year of the Tiger |
—
|
LITERAL 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: Year of the Tiger | Statement: [Year of the Dog, trineCompanions, Year of the Tiger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trineCompanions Context triple: [Year of the Dog, trineCompanions, Year of the Tiger]
-
A.
companionsCategory
Indicates that one entity is classified under a specific category related to companions or companionship.
-
B.
hasNumberOfCompanions
Indicates the quantity of companions or associates that an entity has.
-
C.
allegedCompanions
Indicates that two or more entities are claimed or reported to have been companions or associates, without confirming the truth of that relationship.
-
D.
hasCompanionCharacterProfession
Indicates that a companion character is associated with or practices a particular profession.
-
E.
wasCompanionOf
Indicates that one entity accompanied or associated closely with another, typically as a partner, ally, or fellow participant over some period of time.
- 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_69e288b9ecf08190b8c94a278f5674fe |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d46a6ba48190b0cce0b134dfb35f |
completed | April 29, 2026, 9:50 a.m. |
| PD | Predicate disambiguation | batch_69f17639d23c8190bed93434e2f9230a |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 9:40 p.m.