Triple
T20201056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tears for Fears |
E493217
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Woman in Chains |
—
|
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: Woman in Chains | Statement: [Tears for Fears, notableWork, Woman in Chains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woman in Chains Context triple: [Tears for Fears, notableWork, Woman in Chains]
-
A.
Woman in Chains
chosen
"Woman in Chains" is a soulful 1989 song by Tears for Fears featuring powerful lead vocals by Oleta Adams that explores themes of female oppression and emotional struggle.
-
B.
These Chains
"These Chains" is a song by the British heavy metal band Judas Priest, featured on their 1982 album *Screaming for Vengeance*.
-
C.
Women in Cages
Women in Cages is a 1971 exploitation film set in a brutal women's prison in the Philippines, known for its gritty violence and for featuring Pam Grier in an early, scene-stealing role.
-
D.
Chained
Chained is a song by American soul singer, songwriter, and Motown producer Frank Wilson.
-
E.
Chained
"Chained" is a dance music track featured in the rhythm game In the Groove.
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d8e0df481909c030e2a01d1862a |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:37 p.m.