Triple
T522908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Think Like a Man |
E10856
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Zeke
Zeke is a central male character in the romantic comedy film "Think Like a Man," known for navigating modern dating dynamics alongside a group of friends influenced by a relationship advice book.
|
E65703
|
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: Zeke | Statement: [Think Like a Man, mainCharacter, Zeke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeke Context triple: [Think Like a Man, mainCharacter, Zeke]
-
A.
Garth
Garth is a fictional character from the American prime-time television soap opera "Falcon Crest."
-
B.
Jeffrey
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
-
C.
Tabio
Tabio is a small Colombian town in the department of Cundinamarca, known for its cool climate, agricultural traditions, and proximity to Bogotá.
-
D.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
E.
Kenneth
Kenneth is the formal given name of American country music singer, songwriter, and actor Kenny Rogers.
- 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: Zeke Triple: [Think Like a Man, mainCharacter, Zeke]
Generated description
Zeke is a central male character in the romantic comedy film "Think Like a Man," known for navigating modern dating dynamics alongside a group of friends influenced by a relationship advice book.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zeke Target entity description: Zeke is a central male character in the romantic comedy film "Think Like a Man," known for navigating modern dating dynamics alongside a group of friends influenced by a relationship advice book.
-
A.
Garth
Garth is a fictional character from the American prime-time television soap opera "Falcon Crest."
-
B.
Jeffrey
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
-
C.
Tabio
Tabio is a small Colombian town in the department of Cundinamarca, known for its cool climate, agricultural traditions, and proximity to Bogotá.
-
D.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
E.
Kenneth
Kenneth is the formal given name of American country music singer, songwriter, and actor Kenny Rogers.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b4f01881908b408357ff113308 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b23dca0c8190b240bb7c9fb8b799 |
completed | March 1, 2026, 9:40 p.m. |
| NEDg | Description generation | batch_69a4b30e28b08190994811d66a091d6b |
completed | March 1, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4b384035c8190b7408b2232626d19 |
completed | March 1, 2026, 9:45 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.