Triple
T10586232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Lester |
E249861
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Help! |
E97668
|
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: Help! | Statement: [Richard Lester, notableWork, Help!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Help! Context triple: [Richard Lester, notableWork, Help!]
-
A.
Help!
chosen
"Help!" is a 1965 song and title track by the Beatles, widely recognized as one of their classic hits from their early period.
-
B.
Help Me
"Help Me" is a 1974 jazz-inflected folk-pop song by Canadian singer-songwriter Joni Mitchell, widely regarded as one of her signature hits from the album *Court and Spark*.
-
C.
Help Help
"Help Help" is a song by the American rock band The Get Up Kids from their 2002 album "On a Wire."
-
D.
Help
Help is a Wikimedia Commons namespace used for pages that provide guidance and documentation on using and contributing to the media repository.
-
E.
Help
Help is a British television drama film starring Jodie Comer that explores the challenges faced by care home workers during the COVID-19 pandemic.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d527698be48190a2f5e573d7cc0661 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b8b1b708190865e428128f98720 |
completed | April 10, 2026, 7:12 p.m. |
Created at: April 6, 2026, 12:39 p.m.