Triple
T14046258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faceless |
E337963
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Faceless (song) |
E337963
|
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: Faceless (song) | Statement: [Faceless, hasPart, Faceless (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faceless (song) Context triple: [Faceless, hasPart, Faceless (song)]
-
A.
Faceless
chosen
Faceless is a hard rock/alternative metal album by the American band Godsmack, known for its aggressive sound and chart-topping success in the early 2000s.
-
B.
Broken Face
"Broken Face" is a raw, punk-influenced track by the Pixies, featured on their influential 1988 album *Surfer Rosa*.
-
C.
Frontiers (song)
"Frontiers" is a rock song by the American band Journey, featured on their 1983 album of the same name.
-
D.
Yellow Face
Yellow Face is a satirical play by David Henry Hwang that explores racial identity, representation, and Asian American experiences in the theater industry.
-
E.
A Face
"A Face" is a poem by Robert Browning that explores themes of beauty, perception, and the emotional power conveyed through a human face.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312df37081909f45ce3e219af5dc |
completed | April 14, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf7d863ac819085bf5cd76cb2e8dd |
completed | May 7, 2026, 8:36 p.m. |
Created at: April 9, 2026, 10:20 p.m.