Triple
T19316458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brihaspati |
E483109
|
entity |
| Predicate | associatedWithZodiacSigns |
P26307
|
FINISHED |
| Object | Pisces |
—
|
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: Pisces | Statement: [Brihaspati, associatedWithZodiacSigns, Pisces]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pisces Context triple: [Brihaspati, associatedWithZodiacSigns, Pisces]
-
A.
Pisces
chosen
Pisces is a compassionate and intuitive water sign in the zodiac, often associated with creativity, empathy, and emotional depth.
-
B.
Aquarius
Aquarius is a track featured on the album "Electric Circus" by Common.
-
C.
Aquarius
Aquarius is a prominent zodiac constellation in the southern sky, traditionally depicted as a water-bearer pouring water.
-
D.
Aquarius
Aquarius is a sports drink brand owned by The Coca-Cola Company, popular in various international markets as a hydrating beverage for active consumers.
-
E.
Aquarius
Aquarius is a notable vehicle associated with the LEM project, recognized for its role in advanced lunar exploration and mission support.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d843640819089ff3738aae29eb1 |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:32 p.m.