Triple
T17889183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Who We Used to Be |
E447269
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | TMS |
—
|
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: TMS | Statement: [Who We Used to Be, producer, TMS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TMS Context triple: [Who We Used to Be, producer, TMS]
-
A.
TMS
TMS (Test Mode Select) is the JTAG control signal used to navigate the TAP (Test Access Port) state machine in IEEE 1149.1 boundary-scan operations.
-
B.
TMS
chosen
TMS is a British songwriting and production team known for crafting pop and contemporary hits for major artists.
-
C.
TMB
TMB is the main public transportation operator in the Barcelona metropolitan area, managing the city’s metro and bus networks.
-
D.
TMB
TMB is the commonly used abbreviation for the Technical Management Board, a governing body that oversees and coordinates technical and standardization activities within its organization.
-
E.
TAM
TAM is a prominent annual conference focused on science, skepticism, and critical thinking, originally organized by the James Randi Educational Foundation.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c15f8b08190ac8d134e32d62d18 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.