Triple
T9091180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Malloy |
E217884
|
entity |
| Predicate | isKnownAs |
P39
|
FINISHED |
| Object | David Malloy |
E217884
|
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: David Malloy | Statement: [David Malloy, isKnownAs, David Malloy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Malloy Context triple: [David Malloy, isKnownAs, David Malloy]
-
A.
David Malloy
chosen
David Malloy is an American songwriter and record producer known for his work in country and pop music, including numerous hits for artists like Kenny Rogers and Eddie Rabbitt.
-
B.
Michael Wells
Michael Wells is a musician best known as a member of the American alternative country/rock band The Walkabouts.
-
C.
Dan Talbot
Dan Talbot was an influential American film distributor and exhibitor known for championing foreign and independent cinema in the United States.
-
D.
Scott Heiferman
Scott Heiferman is an American entrepreneur best known for co-founding the social networking platform Meetup, which helps people organize and attend local in-person events.
-
E.
Stephen Lyons
Stephen Lyons is a central character in the British drama series "Years and Years," which follows a Manchester family navigating rapid social and political changes over several decades.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc965b73848190af309cd7d2f14066 |
completed | April 1, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065c0d77081908fd707af138218fd |
completed | April 4, 2026, 1:13 a.m. |
Created at: March 30, 2026, 7:14 p.m.