Triple
T12093167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Calfan |
E287998
|
entity |
| Predicate | performerOf |
P1363
|
FINISHED |
| Object | Thorns |
E964954
|
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: Thorns | Statement: [Michael Calfan, performerOf, Thorns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thorns Context triple: [Michael Calfan, performerOf, Thorns]
-
A.
Thorns
Thorns is the commonly used shorthand name for Portland Thorns FC, a professional women's soccer team based in Portland, Oregon.
-
B.
Thorns
chosen
"Thorns" is a dance/electronic track by French DJ and producer Michael Calfan, known for its melodic house style and uplifting energy.
-
C.
Thorns
Thorns is a science fiction novel by Robert Silverberg that explores themes of identity, trauma, and media exploitation in a dystopian future.
-
D.
Strife
Strife is a 1909 stage play by John Galsworthy that portrays a bitter industrial conflict between capital and labor, highlighting the human cost of class struggle.
-
E.
Strife
Strife is a fictional universe created by Simon Harness, likely characterized by its own distinct setting, lore, and narrative rules.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91550ce508190babf5755e1553734 |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a6f22cc8190ba12c910c5ef5868 |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:48 p.m.