Triple
T18012202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tammy Wynette |
E430909
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Michael Tomlin
Michael Tomlin is best known as one of the later husbands of American country music singer Tammy Wynette.
|
E1301383
|
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: Michael Tomlin | Statement: [Tammy Wynette, spouse, Michael Tomlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Tomlin Context triple: [Tammy Wynette, spouse, Michael Tomlin]
-
A.
Mike Tomlin
Mike Tomlin is a Super Bowl–winning head coach in the NFL, best known for his long, successful tenure leading the Pittsburgh Steelers.
-
B.
Bill O'Brien
Bill O'Brien is a fictional political rival character in the television series "Veep," opposing protagonist Selina Meyer in her pursuit of power.
-
C.
Mike McCoy
Mike McCoy is an American filmmaker best known for co-directing the military action film "Act of Valor," which features active-duty U.S. Navy SEALs.
-
D.
Doug Pederson
Doug Pederson is an American football coach best known for leading the Philadelphia Eagles to their first Super Bowl championship in franchise history.
-
E.
Mike McDaniel
Mike McDaniel is an innovative NFL head coach known for his offensive creativity and leadership of the Miami Dolphins.
- 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: Michael Tomlin Triple: [Tammy Wynette, spouse, Michael Tomlin]
Generated description
Michael Tomlin is best known as one of the later husbands of American country music singer Tammy Wynette.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Tomlin Target entity description: Michael Tomlin is best known as one of the later husbands of American country music singer Tammy Wynette.
-
A.
Mike Tomlin
Mike Tomlin is a Super Bowl–winning head coach in the NFL, best known for his long, successful tenure leading the Pittsburgh Steelers.
-
B.
Bill O'Brien
Bill O'Brien is a fictional political rival character in the television series "Veep," opposing protagonist Selina Meyer in her pursuit of power.
-
C.
Mike McCoy
Mike McCoy is an American filmmaker best known for co-directing the military action film "Act of Valor," which features active-duty U.S. Navy SEALs.
-
D.
Doug Pederson
Doug Pederson is an American football coach best known for leading the Philadelphia Eagles to their first Super Bowl championship in franchise history.
-
E.
Mike McDaniel
Mike McDaniel is an innovative NFL head coach known for his offensive creativity and leadership of the Miami Dolphins.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b520ea088190b74903f1e1ba49e2 |
completed | April 19, 2026, 10:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0343210348819092a0f11571693e24 |
completed | May 12, 2026, 3:11 p.m. |
| NEDg | Description generation | batch_6a034424f3fc8190bee39b2ae2f19d70 |
completed | May 12, 2026, 3:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a034517f4148190864d916f4d1ef5ba |
completed | May 12, 2026, 3:19 p.m. |
Created at: April 10, 2026, 10:24 a.m.