Triple
T9039353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Faces |
E216580
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Two Faces |
E216580
|
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: Two Faces | Statement: [Two Faces, title, Two Faces]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Two Faces Context triple: [Two Faces, title, Two Faces]
-
A.
Two Faces
chosen
Two Faces is a song by Bruce Springsteen from his 1987 album "Tunnel of Love," reflecting themes of inner conflict and emotional duality.
-
B.
The Mirror Has Two Faces
The Mirror Has Two Faces is a 1996 romantic comedy-drama film directed by and starring Barbra Streisand, featuring Lauren Bacall in an acclaimed supporting role.
-
C.
Broken Face
"Broken Face" is a raw, punk-influenced track by the Pixies, featured on their influential 1988 album *Surfer Rosa*.
-
D.
Five Hundred Faces
Five Hundred Faces is a song featured on the album "Harrow Songs."
-
E.
About Face
"About Face" is a 1952 American military comedy film starring William Tracy, known for its lighthearted portrayal of army life.
- 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_69ca83d22d488190adbce5e020e9cd1d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6ac46f4881909882403bb81db152 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb98e6008190a73c76c50aa7ed23 |
completed | April 3, 2026, 4:32 p.m. |
Created at: March 30, 2026, 7:09 p.m.