Triple
T35226434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "I coulda been a contender" |
E1017108
|
entity |
| Predicate | associatedWithAwardedPerformance |
P124120
|
FINISHED |
| Object |
Marlon Brando's Academy Award for Best Actor
Marlon Brando's Academy Award for Best Actor is the Oscar he received for his iconic, career-defining performance as Terry Malloy in the 1954 film "On the Waterfront."
|
E64931
|
NE FINISHED |
How this triple was built (3 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: Marlon Brando's Academy Award for Best Actor | Statement: ["I coulda been a contender", associatedWithAwardedPerformance, Marlon Brando's Academy Award for Best Actor]
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: Marlon Brando's Academy Award for Best Actor Triple: ["I coulda been a contender", associatedWithAwardedPerformance, Marlon Brando's Academy Award for Best Actor]
Generated description
Marlon Brando's Academy Award for Best Actor is the Oscar he received for his iconic, career-defining performance as Terry Malloy in the 1954 film "On the Waterfront."
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAwardedPerformance Context triple: ["I coulda been a contender", associatedWithAwardedPerformance, Marlon Brando's Academy Award for Best Actor]
-
A.
associatedWithAwardRecipient
Indicates a relationship where an entity is connected to or linked with the recipient of a specific award.
-
B.
hasAwardedPerformanceBy
Indicates that an award or recognition has been given to a performance by a specific entity (such as a person or organization).
-
C.
associatedWithAwardWinningScore
Indicates that an entity is connected to or involved with a score that has received an award.
-
D.
associatedWithAwardRecognition
chosen
Indicates a relationship where an entity has a connection to a specific award or recognition, such as receiving, being nominated for, or otherwise being formally linked to it.
-
E.
hasRelativeWithAward
Indicates that one entity has a relative who has received an award.
- F. None of above.
Provenance (6 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_69f76de12e4c8190bc46b71a32858356 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a380419c4ec8190bd0e162037683c8d |
completed | June 21, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a3804ebed608190995d50cb0cf6243a |
completed | June 21, 2026, 3:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a380598bfd48190a3d7d541ff5d5cde |
completed | June 21, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:02 p.m.