Triple
T14496519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motley County |
E359514
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object |
Matador
Matador is a small rural town in the Texas Panhandle that serves as the administrative and commercial hub of Motley County.
|
E1103738
|
NE FINISHED |
How this triple was built (4 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: Matador | Statement: [Motley County, seat, Matador]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matador Context triple: [Motley County, seat, Matador]
-
A.
Matador
"Matador" is a song by the American rock band Spirit, known for blending psychedelic rock with jazz and progressive influences.
-
B.
Matador
Matador is a 1986 Spanish psychological thriller film directed by Pedro Almodóvar that explores themes of desire, death, and obsession.
-
C.
Matador
Matador is a tire brand associated with Continental AG, offering a range of affordable passenger and commercial vehicle tires primarily in European and global markets.
-
D.
Matadors
The Matadors are the athletic teams representing California State University, Northridge in NCAA competition.
-
E.
Matador Film
Matador Film is a film production company known for collaborating on international co-productions, particularly in European cinema.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Matador Triple: [Motley County, seat, Matador]
Generated description
Matador is a small rural town in the Texas Panhandle that serves as the administrative and commercial hub of Motley County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matador Target entity description: Matador is a small rural town in the Texas Panhandle that serves as the administrative and commercial hub of Motley County.
-
A.
Matador
"Matador" is a song by the American rock band Spirit, known for blending psychedelic rock with jazz and progressive influences.
-
B.
Matador
Matador is a 1986 Spanish psychological thriller film directed by Pedro Almodóvar that explores themes of desire, death, and obsession.
-
C.
Matador
Matador is a tire brand associated with Continental AG, offering a range of affordable passenger and commercial vehicle tires primarily in European and global markets.
-
D.
Matadors
The Matadors are the athletic teams representing California State University, Northridge in NCAA competition.
-
E.
Matador Film
Matador Film is a film production company known for collaborating on international co-productions, particularly in European cinema.
- F. None of above. chosen
Provenance (5 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de93109cb081909a6e846db23a4635 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9731588190b27a826582e5fc6d |
completed | May 8, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69fd6f80e3a081908c43915275898852 |
completed | May 8, 2026, 5:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7016a3c48190a1ea2fefeea92c60 |
completed | May 8, 2026, 5:09 a.m. |
Created at: April 10, 2026, 1:21 a.m.