Triple
T13902630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve (Him & Her) |
E334263
|
entity |
| Predicate | hasSignificantOther |
P9994
|
FINISHED |
| Object | Becky (Him & Her) |
E334258
|
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: Becky (Him & Her) | Statement: [Steve (Him & Her), hasSignificantOther, Becky (Him & Her)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Becky (Him & Her) Context triple: [Steve (Him & Her), hasSignificantOther, Becky (Him & Her)]
-
A.
Big Time Becks
Big Time Becks is the larger-than-life, main-event persona of WWE superstar Becky Lynch, emphasizing her status as one of the company’s top attractions.
-
B.
Him & Her
chosen
Him & Her is a British television sitcom that follows the mundane yet humorous lives of a lazy couple in their twenties, known for its naturalistic style and intimate, single-location setting.
-
C.
Anyone But Him
Anyone But Him is a song by British singer-songwriter and producer Mr Hudson, known for blending pop, R&B, and electronic influences.
-
D.
Let Her
"Let Her" is a song featured on Esperanza Spalding’s jazz-influenced album *Radio Music Society*.
-
E.
And She Was
"And She Was" is a 1985 new wave song by Talking Heads, known for its surreal lyrics and upbeat, guitar-driven sound.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d9c7a48190ad8fb0ca676f4f7b |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c722e72081909090b2d64000ebd9 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:16 p.m.